diff --git a/Project-Documentation/TDS-Conflation/bats_dataset_guide.html b/Project-Documentation/TDS-Conflation/bats_dataset_guide.html new file mode 100644 index 0000000..6353ca9 --- /dev/null +++ b/Project-Documentation/TDS-Conflation/bats_dataset_guide.html @@ -0,0 +1,6224 @@ + + + + + + + + + + +BATS Codebook and Dataset Guide + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+

Overview

+
+

Row

+
+

Overview

+


+
+

Bay Area Transportation Study: Unweighted Codebook and +Dataset Guide

+
+

This document provides key information about all variables included +in the Bay Area Travel Study dataset. This includes:

+
    +
  • A codebook with all variable and value labels, +searchable by data table.

  • +
  • Unweighted frequency tables with unweighted +tabulations for all categorical variables in the dataset.

  • +
  • A dataset guide with information about data +privacy, data preparation, and notes on joining tables. In many cases, +referring to the original survey questionnaire also provides helpful +context for the exact data collection procedures.

  • +
+
+


+
+
+

Study and Dataset Overview

+
+

The Bay Area Transportation Study collected data from 2023-05-08 to +2024-01-19. The study included two parts:

+
    +
  1. Part one, also called the “recruit +survey,” collected information about household composition, +demographics, and typical travel behavior.

  2. +
  3. Part two, also called the “travel +diary,” required participants to record their travel during an +assigned travel period.

  4. +
+
+


+
+
+

“Complete” households met the following +conditions:

+
+
    +
  • The household completed the recruit survey in full.

  • +
  • The household completed a travel diary for all participating +household members on at least one concurrent weekday.

  • +
+
+


+
+
+

Identifying surveyable household members:

+
+

The household member who completed the recruit survey is referred to +as “person 1.” All household members whose relationship to person 1 is +spouse or unmarried partner, child, parent, sibling, or other relative +reported their travel and are considered part of the household. These +persons can be identified by a value of 1 in the “surveyable” column in +the person data table.

+
+
+
+
+

Dataset Composition

+
+

Dataset Composition

+
+

The dataset includes six distinct data tables. These tables include +all user-input survey variables, certain survey metadata, and variables +derived to support data analysis.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TableRows
Household    8,843 households
Person   17,189 people
Vehicle   11,984 vehicles
Day   91,588 days
Trip  373,511 trips
Location6,673,885 points
+
+


+
+
+
+

Data Privacy

+
+

Data Privacy

+
+

The survey dataset contains sensitive and confidential data, +including personally identifiable information (PII). The table below +lists several specific variables that are likely to contain PII or +sensitive information, however this list is not exhaustive. Combinations +of additional variables may also constitute PII. Please +follow your organization’s privacy policy, this study’s privacy policy, +and generally accepted best practices for data privacy and +security.

+

RSG has removed any PII used solely for survey administration from +the final dataset. Additionally, survey access codes used by +participants have been replaced with household IDs (hh_id) to ensure +that no information in the final dataset can be identified using the +passwords the participant used.

+


+
+

Sensitive and Personally Identifiable Information +(PII)

+ +++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Variable Name(s)Data LevelConfidential Data Type
home_lat, home_lonHouseholdPII
income_detailedHouseholdSensitive
ethnicityPersonSensitive
ethnicity_other_specifyPersonText entry: May contain sensitive and PII
racePersonSensitive
race_other_specifyPersonText entry: May contain sensitive and PII
school_lat, school_lonPersonPII
work_lat, work_lonPersonPII
o_lat, o_lonTripPII
d_lat, d_lonTripPII
mode_other_specifyTripText entry: May contain sensitive and PII
otherVehicleText entry: May contain sensitive and PII
+
+
+
+
+
+
+
+

Codebook

+
+

Row

+
+

Variable Descriptions

+
+ +
+
+ +
+
+
+
+
+ +
+ + +
+
+ +
+
+
+ +
+
+
+
+
+

Value Labels

+
+ +
+
+ +
+ +
+ +
+
+
+
+

Household

+ +
+

Row

+
+

participation_group

+

Participation group

+

Label

Value

Counts

Percentages

Signup survey completed via browserMove, Diary completed via browserMove

1

1,162

13.1%

Signup survey completed via browserMove, Diary completed via call center

2

22

0.2%

Signup survey completed via browserMove, Diary completed via rMove

3

1,858

21.0%

Signup survey completed via call center, Diary completed via browserMove

4

61

0.7%

Signup survey completed via call center, Diary completed via call center

5

289

3.3%

Signup survey completed via call center, Diary completed via rMove

6

6

0.1%

Signup survey completed via rMove, Diary completed via browserMove

7

236

2.7%

Signup survey completed via rMove, Diary completed via call center

8

6

0.1%

Signup survey completed via rMove, Diary completed via rMove

9

5,203

58.8%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete

+

Number of complete days
+If surveyable

+

Label

Value

Counts

Percentages

1 day complete

1

3,018

34.1%

2 days complete

2

83

0.9%

3 days complete

3

97

1.1%

4 days complete

4

121

1.4%

5 days complete

5

318

3.6%

6 days complete

6

910

10.3%

7 days complete

7

4,296

48.6%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete_a

+

Number of complete days under strict criteria A

+

Label

Value

Counts

Percentages

0 days complete

0

972

11.0%

1 day complete

1

2,786

31.5%

2 days complete

2

319

3.6%

3 days complete

3

490

5.5%

4 days complete

4

714

8.1%

5 days complete

5

932

10.5%

6 days complete

6

1,005

11.4%

7 days complete

7

1,625

18.4%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete_b

+

Number of complete days under lenient criteria B

+

Label

Value

Counts

Percentages

0 days complete

0

258

2.9%

1 day complete

1

2,936

33.2%

2 days complete

2

143

1.6%

3 days complete

3

203

2.3%

4 days complete

4

338

3.8%

5 days complete

5

752

8.5%

6 days complete

6

1,352

15.3%

7 days complete

7

2,861

32.4%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete_weekday

+

Number of complete weekdays

+

Label

Value

Counts

Percentages

0 weekdays

0

42

0.5%

1 weekday

1

3,033

34.3%

2 weekdays

2

125

1.4%

3 weekdays

3

238

2.7%

4 weekdays

4

746

8.4%

5 weekdays

5

4,659

52.7%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete_weekday_a

+

Number of complete weekdays under strict criteria A

+

Label

Value

Counts

Percentages

0 weekdays

0

1,058

12.0%

1 weekday

1

2,921

33.0%

2 weekdays

2

612

6.9%

3 weekdays

3

950

10.7%

4 weekdays

4

1,254

14.2%

5 weekdays

5

2,048

23.2%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete_weekday_b

+

Number of complete weekdays under lenient criteria B

+

Label

Value

Counts

Percentages

0 weekdays

0

311

3.5%

1 weekday

1

2,996

33.9%

2 weekdays

2

268

3.0%

3 weekdays

3

600

6.8%

4 weekdays

4

1,289

14.6%

5 weekdays

5

3,379

38.2%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_mon

+

Number of complete Mondays

+

Label

Value

Counts

Percentages

0 Mondays

0

2,909

32.9%

1 Monday

1

5,934

67.1%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_mon_a

+

Number of complete Mondays under strict criteria A

+

Label

Value

Counts

Percentages

0 Mondays

0

4,354

49.2%

1 Monday

1

4,489

50.8%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_mon_b

+

Number of complete Mondays under lenient criteria B

+

Label

Value

Counts

Percentages

0 Mondays

0

3,471

39.3%

1 Monday

1

5,372

60.7%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_tue

+

Number of complete Tuesdays

+

Label

Value

Counts

Percentages

0 Tuesdays

0

2,537

28.7%

1 Tuesday

1

6,306

71.3%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_tue_a

+

Number of complete Tuesdays under strict criteria A

+

Label

Value

Counts

Percentages

0 Tuesdays

0

4,163

47.1%

1 Tuesday

1

4,680

52.9%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_tue_b

+

Number of complete Tuesdays under lenient criteria B

+

Label

Value

Counts

Percentages

0 Tuesdays

0

3,149

35.6%

1 Tuesday

1

5,694

64.4%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_wed

+

Number of complete Wednesdays

+

Label

Value

Counts

Percentages

0 Wednesdays

0

2,525

28.6%

1 Wednesday

1

6,318

71.4%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_wed_a

+

Number of complete Wednesdays under strict criteria A

+

Label

Value

Counts

Percentages

0 Wednesdays

0

4,143

46.9%

1 Wednesday

1

4,700

53.1%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_wed_b

+

Number of complete Wednesdays under lenient criteria B

+

Label

Value

Counts

Percentages

0 Wednesdays

0

3,103

35.1%

1 Wednesday

1

5,740

64.9%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_thu

+

Number of complete Thursdays

+

Label

Value

Counts

Percentages

0 Thursdays

0

2,582

29.2%

1 Thursday

1

6,261

70.8%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_thu_a

+

Number of complete Thursdays under strict criteria A

+

Label

Value

Counts

Percentages

0 Thursdays

0

4,287

48.5%

1 Thursday

1

4,556

51.5%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_thu_b

+

Number of complete Thursdays under lenient criteria B

+

Label

Value

Counts

Percentages

0 Thursdays

0

3,161

35.7%

1 Thursday

1

5,682

64.3%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_fri

+

Number of complete Fridays

+

Label

Value

Counts

Percentages

0 Fridays

0

3,386

38.3%

1 Friday

1

5,457

61.7%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_fri_a

+

Number of complete Fridays under strict criteria A

+

Label

Value

Counts

Percentages

0 Fridays

0

5,017

56.7%

1 Friday

1

3,826

43.3%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_fri_b

+

Number of complete Fridays under lenient criteria B

+

Label

Value

Counts

Percentages

0 Fridays

0

3,948

44.6%

1 Friday

1

4,895

55.4%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete_weekend

+

Number of complete weekend days

+

Label

Value

Counts

Percentages

0 weekend days

0

3,155

35.7%

1 weekend day

1

571

6.5%

2 weekend days

2

5,117

57.9%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete_weekend_a

+

Number of complete weekend days under strict criteria A

+

Label

Value

Counts

Percentages

0 weekend days

0

4,264

48.2%

1 weekend day

1

1,594

18.0%

2 weekend days

2

2,985

33.8%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_days_complete_weekend_b

+

Number of complete weekend days under lenient criteria B

+

Label

Value

Counts

Percentages

0 weekend days

0

3,441

38.9%

1 weekend day

1

1,105

12.5%

2 weekend days

2

4,297

48.6%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_sat

+

Number of complete Saturdays

+

Label

Value

Counts

Percentages

0 Saturdays

0

3,428

38.8%

1 Saturday

1

5,415

61.2%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_sat_a

+

Number of complete Saturdays under strict criteria A

+

Label

Value

Counts

Percentages

0 Saturdays

0

5,112

57.8%

1 Saturday

1

3,731

42.2%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_sat_b

+

Number of complete Saturdays under lenient criteria B

+

Label

Value

Counts

Percentages

0 Saturdays

0

3,958

44.8%

1 Saturday

1

4,885

55.2%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_sun

+

Number of complete Sundays

+

Label

Value

Counts

Percentages

0 Sundays

0

3,453

39.0%

1 Sunday

1

5,390

61.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_sun_a

+

Number of complete Sundays under strict criteria A

+

Label

Value

Counts

Percentages

0 Sundays

0

5,010

56.7%

1 Sunday

1

3,833

43.3%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_complete_sun_b

+

Number of complete Sundays under lenient criteria B

+

Label

Value

Counts

Percentages

0 Sundays

0

4,029

45.6%

1 Sunday

1

4,814

54.4%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

home_in_region

+

Home is in the study region

+

Label

Value

Counts

Percentages

Yes

1

8,843

100.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

sample_segment

+

Sample segment

+

Label

Value

Counts

Percentages

Spring low income assignment

1

36

0.4%

Spring low income opt-in

2

58

0.7%

Spring BIPOC assignment

3

15

0.2%

Spring BIPOC opt-in

4

30

0.3%

Spring wbt assignment

5

49

0.6%

Spring wbt opt-in

6

77

0.9%

Spring general assignment

7

90

1.0%

Spring general opt-in

8

159

1.8%

All Other Low Income

9

575

6.5%

All Other BIPOC

10

348

3.9%

All Other Walk/Bike/Transit

11

574

6.5%

All Other General

12

2,852

32.3%

San Francisco Low Income Northeast

13

227

2.6%

San Francisco BIPOC Northeast

14

27

0.3%

San Francisco Walk/Bike/Transit Northeast

15

226

2.6%

San Francisco General Northeast

16

441

5.0%

San Francisco Low Income Northwest

17

41

0.5%

San Francisco General Northwest

18

563

6.4%

San Francisco Low Income Southeast

19

40

0.5%

San Francisco BIPOC Southeast

20

198

2.2%

San Francisco General Southeast

21

218

2.5%

San Francisco Low Income Southwest

22

25

0.3%

San Francisco BIPOC Southwest

23

10

0.1%

San Francisco Walk/Bike/Transit Southwest

24

14

0.2%

San Francisco General Southwest

25

583

6.6%

Santa Clara Low Income

26

217

2.5%

Santa Clara BIPOC

27

90

1.0%

Santa Clara Walk/Bike/Transit

28

265

3.0%

Santa Clara General

29

731

8.3%

Pairwise TDM

30

64

0.7%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

income_detailed

+

Last year’s household income (detailed categories)

+

Label

Value

Counts

Percentages

Less than $15,000

1

479

5.4%

$15,000-$24,999

2

343

3.9%

$25,000-$34,999

3

331

3.7%

$35,000-$49,999

4

464

5.2%

$50,000-$74,999

5

825

9.3%

$75,000-$99,999

6

902

10.2%

$100,000-$149,999

7

1,428

16.1%

$150,000-$199,999

8

980

11.1%

$200,000-$249,999

9

649

7.3%

$250,000 or more

10

1,299

14.7%

Prefer not to answer

999

1,143

12.9%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

income_followup

+

Last year’s household income (broad categories)
+If preferred not to provide income in the sign-up survey

+

Label

Value

Counts

Percentages

Under $25,000

1

27

2.4%

$25,000-$49,999

2

21

1.9%

$50,000-$74,999

3

31

2.7%

$75,000-$99,999

4

28

2.5%

$100,000-$199,999

5

68

6.0%

$200,000 or more

6

97

8.6%

Prefer not to answer

999

857

75.9%

Missing Response

995

7,714

Total valid

1,129

100.0%

Total missing

7,714

Total

8,843

+
+
+
+

Row

+
+

income_broad

+

Last year’s household income (recoded broad categories)

+

Label

Value

Counts

Percentages

Under $25,000

1

849

9.6%

$25,000-$49,999

2

816

9.2%

$50,000-$74,999

3

856

9.7%

$75,000-$99,999

4

930

10.5%

$100,000-$199,999

5

2,476

28.0%

$200,000 or more

6

2,045

23.1%

Prefer not to answer

999

871

9.8%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_people

+

Number of household members

+

Label

Value

Counts

Percentages

1 person

1

3,802

43.0%

2 people

2

3,106

35.1%

3 people

3

985

11.1%

4 people

4

674

7.6%

5 people

5

180

2.0%

6 people

6

64

0.7%

7 people

7

22

0.2%

8 people

8

5

0.1%

9 people

9

4

0.0%

10 people

10

1

0.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_surveyable

+

Number of surveyable household members

+

Label

Value

Counts

Percentages

1 surveyable person

1

4,238

47.9%

2 surveyable persons

2

2,888

32.7%

3 surveyable persons

3

865

9.8%

4 surveyable persons

4

614

6.9%

5 surveyable persons

5

157

1.8%

6 surveyable persons

6

55

0.6%

7 surveyable persons

7

18

0.2%

8 surveyable persons

8

6

0.1%

9 surveyable persons

9

2

0.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_participants

+

Number of participants

+

Label

Value

Counts

Percentages

1 participant

1

4,467

50.5%

2 participants

2

3,699

41.8%

3 participants

3

427

4.8%

4 participants

4

177

2.0%

5 participants

5

56

0.6%

6 participants

6

14

0.2%

7 participants

7

2

0.0%

9 participants

9

1

0.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_adults

+

Number of adults

+

Label

Value

Counts

Percentages

1 adult

1

4,021

45.5%

2 adults

2

3,924

44.4%

3 adults

3

564

6.4%

4 adults

4

233

2.6%

5 adults

5

73

0.8%

6 adults

6

22

0.2%

7 adults

7

3

0.0%

9 adults

9

2

0.0%

10 adults

10

1

0.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_kids

+

Number of children

+

Label

Value

Counts

Percentages

0 children

0

7,485

84.6%

1 child

1

713

8.1%

2 children

2

534

6.0%

3 children

3

88

1.0%

4 children

4

16

0.2%

5 children

5

3

0.0%

6 children

6

2

0.0%

7 children

7

2

0.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_workers

+

Number of workers

+

Label

Value

Counts

Percentages

0 workers

0

2,207

25.0%

1 worker

1

3,884

43.9%

2 workers

2

2,393

27.1%

3 workers

3

267

3.0%

4 workers

4

67

0.8%

5 workers

5

15

0.2%

6 workers

6

7

0.1%

7 workers

7

2

0.0%

9 workers

9

1

0.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_students

+

Number of students

+

Label

Value

Counts

Percentages

0 students

0

7,799

88.2%

1 student

1

881

10.0%

2 students

2

130

1.5%

3 students

3

21

0.2%

4 students

4

6

0.1%

5 students

5

3

0.0%

6 students

6

3

0.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_vehicles

+

Number of vehicles

+

Label

Value

Counts

Percentages

0 (no vehicles in my household)

0

1,362

15.4%

1 vehicle

1

4,153

47.0%

2 vehicles

2

2,489

28.1%

3 vehicles

3

604

6.8%

4 vehicles

4

176

2.0%

5 vehicles

5

32

0.4%

6 vehicles

6

16

0.2%

7 vehicles

7

7

0.1%

8 or more vehicles

8

4

0.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

num_bicycles

+

Number of bicycles

+

Label

Value

Counts

Percentages

0 (no bicycles in household)

0

3,922

45.1%

1 bicycle

1

1,996

23.0%

2 or more bicycles

2

2,779

32.0%

Missing Response

995

146

Total valid

8,697

100.0%

Total missing

146

Total

8,843

+
+
+
+

Row

+
+

bicycle_type

+

Type of bicycle
+If number of bicycles > 0

+

Label

Variable Name

Counts

Percentages

Missing Counts

Standard bicycle

bicycle_type_1

4,646

95.6%

3,983

Electric bicycle

bicycle_type_2

629

12.9%

3,983

Other

bicycle_type_997

200

4.1%

3,983

+
+
+
+

Row

+
+

is_complete

+

Is complete
+If surveyable

+

Label

Value

Counts

Percentages

Yes

1

8,843

100.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

is_complete_a

+

Is complete under strict criteria A
+If surveyable

+

Label

Value

Counts

Percentages

No

0

972

11.0%

Yes

1

7,871

89.0%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

is_complete_b

+

Is complete under lenient criteria B
+If surveyable

+

Label

Value

Counts

Percentages

No

0

258

2.9%

Yes

1

8,585

97.1%

Total valid

8,843

100.0%

Total

8,843

+
+
+
+

Row

+
+

pairwise_segment

+

Sample segment within pairwise sample
+If sample segment is pairwise

+

Label

Value

Counts

Percentages

DBI Sample

1

41

89.1%

TDM Sample

2

5

10.9%

Not a pairwise sample

995

8,797

Total valid

46

100.0%

Total missing

8,797

Total

8,843

+
+
+
+
+

Person

+ +
+

Row

+
+

num_days_complete

+

Number of complete days
+If surveyable

+

Label

Value

Counts

Percentages

1 day complete

1

5,720

34.9%

2 days complete

2

92

0.6%

3 days complete

3

104

0.6%

4 days complete

4

142

0.9%

5 days complete

5

356

2.2%

6 days complete

6

1,283

7.8%

7 days complete

7

8,675

53.0%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

+
+
+
+

Row

+
+

hh_is_complete

+

Household day completion status

+

Label

Value

Counts

Percentages

Yes

1

17,189

100.0%

Total valid

17,189

100.0%

Total

17,189

+
+
+
+

Row

+
+

hh_is_complete_a

+

Person’s household is complete under strict criteria A

+

Label

Value

Counts

Percentages

No

0

2,326

13.5%

Yes

1

14,863

86.5%

Total valid

17,189

100.0%

Total

17,189

+
+
+
+

Row

+
+

hh_is_complete_b

+

Person’s household is complete under lenient criteria B

+

Label

Value

Counts

Percentages

No

0

628

3.7%

Yes

1

16,561

96.3%

Total valid

17,189

100.0%

Total

17,189

+
+
+
+

Row

+
+

surveyable

+

Survey participant (related to primary member)

+

Label

Value

Counts

Percentages

No

0

817

4.8%

Yes

1

16,372

95.2%

Total valid

17,189

100.0%

Total

17,189

+
+
+
+

Row

+
+

is_participant

+

Active participant (age 18+ and surveyable)

+

Label

Value

Counts

Percentages

No

0

2,948

17.2%

Yes

1

14,241

82.8%

Total valid

17,189

100.0%

Total

17,189

+
+
+
+

Row

+
+

is_complete

+

Is complete
+If surveyable

+

Label

Value

Counts

Percentages

Yes

1

16,372

100.0%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

+
+
+
+

Row

+
+

is_complete_a

+

Is complete under strict criteria A
+If surveyable

+

Label

Value

Counts

Percentages

No

0

750

4.6%

Yes

1

15,622

95.4%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

+
+
+
+

Row

+
+

is_complete_b

+

Is complete under lenient criteria B
+If surveyable

+

Label

Value

Counts

Percentages

No

0

222

1.4%

Yes

1

16,150

98.6%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

+
+
+
+

Row

+
+

ethnicity

+

If age 18+ and surveyable

+

Label

Variable Name

Counts

Percentages

Missing Counts

Not of Hispanic, Latino, or Spanish origin

ethnicity_1

10,259

82.0%

4,682

Mexican, Mexican American, Chicano

ethnicity_2

705

5.6%

4,682

Puerto Rican

ethnicity_3

72

0.6%

4,682

Cuban

ethnicity_4

37

0.3%

4,682

Another Hispanic, Latino, or Spanish origin

ethnicity_997

441

3.5%

4,682

Prefer not to answer

ethnicity_999

1,060

8.5%

4,682

+
+
+
+

Row

+
+

race

+

If age 18+ and surveyable

+

Label

Variable Name

Counts

Percentages

Missing Counts

African American or Black

race_1

556

4.4%

4,682

American Indian or Alaska Native

race_2

167

1.3%

4,682

Asian

race_3

4,138

33.1%

4,682

Native Hawaiian or other Pacific Islander

race_4

127

1.0%

4,682

White

race_5

6,514

52.1%

4,682

Other race

race_997

470

3.8%

4,682

Prefer not to answer

race_999

1,216

9.7%

4,682

+
+
+
+

Row

+
+

phone_type

+

Participant phone type
+If age 18+ and surveyable

+

Label

Value

Counts

Percentages

Does not have a smartphone

0

1,743

19.8%

Has an Android phone

1

1,942

22.0%

Has an Apple iPhone

2

4,728

53.6%

Has other smartphone type

3

401

4.5%

Missing Response

995

8,375

Total valid

8,814

100.0%

Total missing

8,375

Total

17,189

+
+
+
+

Row

+
+

can_drive

+

Household member drives
+If age 16+ and surveyable

+

Label

Value

Counts

Percentages

No, does not drive

0

2,066

14.3%

Yes, drives

1

12,402

85.7%

Missing Response

995

2,721

Total valid

14,468

100.0%

Total missing

2,721

Total

17,189

+
+
+
+

Row

+
+

student

+

Student status
+If age 18+

+

Label

Value

Counts

Percentages

Full-time student, currently attending some or all classes in-person

0

563

3.7%

Part-time student, currently attending some or all classes in-person

1

302

2.0%

Not a student

2

13,778

91.6%

Part-time student, ONLY online classes

3

309

2.1%

Full-time student, ONLY online classes

4

87

0.6%

Missing Response

995

2,150

Total valid

15,039

100.0%

Total missing

2,150

Total

17,189

+
+
+
+

Row

+
+

relationship

+

Relationship to household person number 1

+

Label

Value

Counts

Percentages

Self

0

8,843

51.4%

Spouse, partner

1

3,862

22.5%

Child, child-in-law

2

2,523

14.7%

Parent, parent-in-law

3

685

4.0%

Sibling, sibling-in-law

4

272

1.6%

Other relative (grandchild, cousin)

5

187

1.1%

Nonrelative (friend, roommate, household help)

6

817

4.8%

Total valid

17,189

100.0%

Total

17,189

+
+
+
+

Row

+
+

age

+

Age of household member

+

Label

Value

Counts

Percentages

Under 5

1

606

3.5%

5 to 15

2

1,312

7.6%

16 to 17

3

232

1.3%

18 to 24

4

843

4.9%

25 to 34

5

3,363

19.6%

35 to 44

6

2,975

17.3%

45 to 54

7

2,152

12.5%

55 to 64

8

2,360

13.7%

65 to 74

9

2,216

12.9%

75 to 84

10

907

5.3%

85 and up

11

223

1.3%

Total valid

17,189

100.0%

Total

17,189

+
+
+
+

Row

+
+

gender

+

If person 1 or a related household member

+

Label

Value

Counts

Percentages

Female

1

7,997

48.8%

Male

2

7,531

46.0%

Non-binary

4

183

1.1%

Other/prefer to self-describe

997

31

0.2%

Prefer not to answer

999

630

3.8%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

+
+
+
+

Row

+
+

disability

+

Disability status
+If age 18+ and surveyable

+

Label

Value

Counts

Percentages

No

0

11,237

90.9%

Yes

1

629

5.1%

Prefer not to answer

999

501

4.1%

Missing Response

995

4,822

Total valid

12,367

100.0%

Total missing

4,822

Total

17,189

+
+
+
+

Row

+
+

disability_followup

+

Type of disability
+If has a disability

+

Label

Variable Name

Counts

Percentages

Missing Counts

Deafness/serious difficulty hearing

disability_followup_1

26

4.1%

16,560

Blindness/serious difficulty seeing even when wearing glasses

disability_followup_2

29

4.6%

16,560

Other physical disability

disability_followup_3

502

79.8%

16,560

Other non-physical disability

disability_followup_4

119

18.9%

16,560

Prefer not to answer

disability_followup_999

30

4.8%

16,560

+
+
+
+

Row

+
+

residence_rent_own

+

Current residence ownership
+If rMove respondent or bMove and person 1

+

Label

Value

Counts

Percentages

Own/buying (paying a mortgage)

1

6,452

52.2%

Rent

2

4,982

40.3%

Housing provided by job or military

3

27

0.2%

Provided by family, relative, or friend without payment or rent

4

448

3.6%

Other

997

117

0.9%

Prefer not to answer

999

342

2.8%

Missing Response

995

4,821

Total valid

12,368

100.0%

Total missing

4,821

Total

17,189

+
+
+
+

Row

+
+

residence_type

+

Type of current residence
+If rMove respondent or bMove and person 1

+

Label

Value

Counts

Percentages

Single-family house (detached house)

1

5,862

47.4%

Single-family house attached to one or more houses (rowhouse or townhouse)

2

1,095

8.9%

Building with 2-4 units (duplexes, triplexes, quads)

3

1,398

11.3%

Building with 5-49 apartments/condos

4

2,140

17.3%

Building with 50 or more apartments/condos

5

1,544

12.5%

Senior or age-restricted apartments/condos

6

128

1.0%

Manufactured home/mobile home/trailer

7

127

1.0%

Dorm, group quarters, or institutional housing

9

35

0.3%

Other (e.g., boat, RV, van)

997

39

0.3%

Missing Response

995

4,821

Total valid

12,368

100.0%

Total missing

4,821

Total

17,189

+
+
+
+

Row

+
+

residence_dur

+

Time spent living at current residence
+If rMove respondent or bMove and person 1

+

Label

Value

Counts

Percentages

Less than a year

1

1,580

12.8%

Between 1 and 2 years

2

1,458

11.8%

Between 2 and 3 years

3

1,315

10.6%

Between 3 and 5 years

4

1,359

11.0%

Between 5 and 10 years

5

1,659

13.4%

Between 10 and 20 years

6

2,175

17.6%

More than 20 years

7

2,822

22.8%

Missing Response

995

4,821

Total valid

12,368

100.0%

Total missing

4,821

Total

17,189

+
+
+
+

Row

+
+

language_at_home

+

Is language other than English spoken at home
+If rMove respondent or bMove and person 1

+

Label

Value

Counts

Percentages

Yes

1

3,630

29.4%

No

2

8,086

65.4%

Prefer not to answer

3

650

5.3%

Missing Response

995

4,823

Total valid

12,366

100.0%

Total missing

4,823

Total

17,189

+
+
+
+

Row

+
+

participate

+

Willingness to participate in future studies
+If age 18+ and surveyable

+

Label

Value

Counts

Percentages

No

0

2,565

18.1%

Yes

1

11,584

81.9%

Missing Response

995

3,040

Total valid

14,149

100.0%

Total missing

3,040

Total

17,189

+
+
+
+

Row

+
+

vehicle

+

Vehicle driven most often
+If household has 1+ vehicles and person can drive

+

Label

Value

Counts

Percentages

Household vehicle 1

6

7,859

68.6%

Household vehicle 2

7

2,593

22.6%

Household vehicle 3

8

455

4.0%

Household vehicle 4

9

97

0.8%

Household vehicle 5

10

14

0.1%

Household vehicle 6

11

6

0.1%

Household vehicle 7

12

1

0.0%

A carshare vehicle (e.g., ZipCar)

18

22

0.2%

None (I do not drive a vehicle)

996

238

2.1%

Other vehicle

997

173

1.5%

Missing Response

995

5,731

Total valid

11,458

100.0%

Total missing

5,731

Total

17,189

+
+
+
+

Row

+
+

employment

+

Employment status
+If age 16+

+

Label

Value

Counts

Percentages

Employed full-time (paid)

1

7,658

50.1%

Employed part-time (paid)

2

1,212

7.9%

Self-employed

3

1,009

6.6%

Not employed and not looking for work (e.g., retired, stay-at-home parent, student)

5

4,251

27.8%

Unemployed and looking for work

6

809

5.3%

Unpaid volunteer or intern

7

170

1.1%

Employed, but not currently working (e.g., on leave, furloughed 100%)

8

162

1.1%

Missing Response

995

1,918

Total valid

15,271

100.0%

Total missing

1,918

Total

17,189

+
+
+
+

Row

+
+

work_in_region

+

Work in study region
+If employed and travels to one work location all or some days

+

Label

Value

Counts

Percentages

No

0

71

1.0%

Yes

1

6,738

99.0%

Missing Response

995

10,380

Total valid

6,809

100.0%

Total missing

10,380

Total

17,189

+
+
+
+

Row

+
+

industry

+

Job industry
+If person is employed full/part/self/volunteer

+

Label

Value

Counts

Percentages

Agriculture, Forestry, Fishing, and Hunting

1

53

0.6%

Mining, Quarrying, and Oil and Gas Extraction

2

17

0.2%

Utilities

3

117

1.2%

Construction

4

253

2.7%

Manufacturing

5

414

4.4%

Wholesale Trade

6

54

0.6%

Retail Trade

7

315

3.3%

Transportation and Warehousing

8

223

2.4%

Information

9

910

9.7%

Finance and Insurance

10

491

5.2%

Real Estate and Rental and Leasing

11

132

1.4%

Professional, Scientific, and Technical Services

12

1,559

16.6%

Management of Companies and Enteprises

13

76

0.8%

Administrative and Support and Waste Management and Remediation Services

14

41

0.4%

Educational Servies

15

995

10.6%

Helath Care and Social Assitance

16

1,240

13.2%

Arts, Entertainment, and Recreation

17

350

3.7%

Accommodation and Food Services

18

344

3.7%

Other Services (except Public Administration)

19

192

2.0%

Public Administration

20

338

3.6%

Other, please specify

997

1,293

13.7%

Missing Response

995

7,782

Total valid

9,407

100.0%

Total missing

7,782

Total

17,189

+
+
+
+

Row

+
+

occupation

+

If person is employed full/part/self/volunteer

+

Label

Value

Counts

Percentages

Management

1

730

7.8%

Business and Financial Operations

2

779

8.3%

Computer and Mathematical

3

1,411

15.0%

Architecture and Engineering

4

689

7.3%

Life, Physical, and Social Science

5

330

3.5%

Community and Social Service

6

242

2.6%

Legal

7

309

3.3%

Educational Instruction and Library

8

617

6.6%

Arts, Design, Entertainment, Sports, and Media

9

404

4.3%

Healthcare Practitioners and Technical

10

633

6.7%

Healthcare Support

11

261

2.8%

Protective Service

12

36

0.4%

Food Preparation and Serving Related

13

217

2.3%

Building and Grounds Cleaning and Maintenance

14

61

0.6%

Personal Care and Service

15

111

1.2%

Sales and Related

16

423

4.5%

Office and Administrative Support

17

453

4.8%

Farming, Fishing, and Forestry

18

33

0.4%

Construction and Extraction

19

106

1.1%

Installation, Maintenance, and Repair

20

96

1.0%

Production

21

119

1.3%

Transportation and Material Moving

22

155

1.6%

Military Specific

23

23

0.2%

Other, please specify

997

1,170

12.4%

Missing Response

995

7,781

Total valid

9,408

100.0%

Total missing

7,781

Total

17,189

+
+
+
+

Row

+
+

job_type

+

Work location type
+If person is employed full/part/self/volunteer and surveyable

+

Label

Value

Counts

Percentages

Go to one work location ONLY (outside of home)

1

3,371

35.7%

Work location regularly varies (different offices/jobsites)

2

794

8.4%

Work ONLY from home or remotely (telework, self-employed)

3

1,712

18.1%

Drive/bike/travel for work (driver, sales, deliveries)

4

130

1.4%

Work remotely some days and travel to a work location some days

5

3,438

36.4%

Missing Response

995

7,744

Total valid

9,445

100.0%

Total missing

7,744

Total

17,189

+
+
+
+

Row

+
+

num_jobs

+

Number of jobs
+If person is employed full/part/self/volunteer/furloughed and +surveyable

+

Label

Value

Counts

Percentages

1 job

1

8,680

90.4%

2 jobs

2

724

7.5%

3 jobs

3

141

1.5%

4 jobs

4

26

0.3%

5 jobs

5

12

0.1%

6 or more jobs

6

18

0.2%

Missing Response

995

7,588

Total valid

9,601

100.0%

Total missing

7,588

Total

17,189

+
+
+
+

Row

+
+

commute_freq

+

Work commute frequency
+If person is employed full/part/self/volunteer and does NOT only work +from home nor drive/bike/travel for work

+

Label

Value

Counts

Percentages

6-7 days a week

1

311

4.1%

5 days a week

2

2,422

32.0%

4 days a week

3

939

12.4%

3 days a week

4

1,519

20.1%

2 days a week

5

920

12.2%

1 day a week

6

575

7.6%

1-3 days a month

7

441

5.8%

Less than monthly

8

210

2.8%

Never

996

231

3.1%

Missing Response

995

9,621

Total valid

7,568

100.0%

Total missing

9,621

Total

17,189

+
+
+
+

Row

+
+

pre_covid_commute_freq

+

Work commute frequency before March 2020
+If age 18+

+

Label

Value

Counts

Percentages

6-7 days a week

1

686

4.8%

5 days a week

2

7,059

49.6%

4 days a week

3

1,082

7.6%

3 days a week

4

726

5.1%

2 days a week

5

280

2.0%

1 day a week

6

166

1.2%

1-3 days a month

7

225

1.6%

Less than monthly

8

265

1.9%

Never

996

3,745

26.3%

Missing Response

995

2,955

Total valid

14,234

100.0%

Total missing

2,955

Total

17,189

+
+
+
+

Row

+
+

telework_freq

+

How often teleworks
+If person does NOT work only from home

+

Label

Value

Counts

Percentages

6-7 days a week

1

198

2.6%

5 days a week

2

692

9.0%

4 days a week

3

587

7.6%

3 days a week

4

877

11.4%

2 days a week

5

1,272

16.5%

1 day a week

6

647

8.4%

1-3 days a month

7

545

7.1%

Less than monthly

8

458

6.0%

Never

996

2,420

31.4%

Missing Response

995

9,493

Total valid

7,696

100.0%

Total missing

9,493

Total

17,189

+
+
+
+

Row

+
+

can_telework

+

Employer allows teleworking
+If person commutes 6-7 days a week OR never teleworks

+

Label

Value

Counts

Percentages

Yes

1

282

11.0%

No

2

2,278

89.0%

Missing Response

995

14,629

Total valid

2,560

100.0%

Total missing

14,629

Total

17,189

+
+
+
+

Row

+
+

work_mode

+

Mode of transportation to work
+If person is employed full/part/self/volunteer and does NOT only work +from home or never commutes nor drive/bike/travel for work

+

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

386

5.3%

Medical transportation service

27

2

0.0%

Household vehicle (or motorcycle)

100

4,429

60.4%

Other vehicle (e.g., friend's car, rental, carshare, work car)

101

157

2.1%

Bus, shuttle, or vanpool

102

744

10.1%

Bicycle

103

395

5.4%

Other

104

132

1.8%

Rail (e.g., train, light rail, trolley, BART, MUNI Metro)

105

986

13.4%

Uber/Lyft, taxi, car service

106

72

1.0%

Micromobility (e.g., scooter, moped, skateboard)

107

33

0.4%

Missing Response

995

9,853

Total valid

7,336

100.0%

Total missing

9,853

Total

17,189

+
+
+
+

Row

+
+

pre_covid_mode

+

How person got to workplace before COVID
+If person is 18 or older and commuted before COVID

+

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

658

6.3%

Medical transportation service

27

5

0.0%

Household vehicle (or motorcycle)

100

6,006

57.3%

Other vehicle (e.g., friend's car, rental, carshare, work car)

101

243

2.3%

Bus, shuttle, or vanpool

102

1,195

11.4%

Bicycle

103

514

4.9%

Other

104

194

1.8%

Rail (e.g., train, light rail, trolley, BART, MUNI Metro)

105

1,528

14.6%

Uber/Lyft, taxi, car service

106

115

1.1%

Micromobility (e.g., scooter, moped, skateboard)

107

31

0.3%

Missing Response

995

6,700

Total valid

10,489

100.0%

Total missing

6,700

Total

17,189

+
+
+
+

Row

+
+

school_attend

+

School structure
+If person is under 18 and surveyable, and is NOT cared for at home, +attending daycare outside of home, or home schooled

+

Label

Value

Counts

Percentages

Attending classes all in-person at school

1

1,646

97.2%

Attending classes partially in-person at school and partially remote

2

31

1.8%

Attending all remote/online classes

3

17

1.0%

Missing Response

995

15,495

Total valid

1,694

100.0%

Total missing

15,495

Total

17,189

+
+
+
+

Row

+
+

school_mode

+

Mode of transportation to school
+If person is a student who attends all or some classes in person

+

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

431

16.8%

School bus

24

71

2.8%

Medical transportation service

27

2

0.1%

Household vehicle (or motorcycle)

100

1,421

55.5%

Other vehicle (e.g., friend's car, rental, carshare, work car)

101

76

3.0%

Bus, shuttle, or vanpool

102

202

7.9%

Bicycle

103

176

6.9%

Other

104

52

2.0%

Rail (e.g., train, light rail, trolley, BART, MUNI Metro)

105

101

3.9%

Uber/Lyft, taxi, car service

106

13

0.5%

Micromobility (e.g., scooter, moped, skateboard)

107

14

0.5%

Missing Response

995

14,630

Total valid

2,559

100.0%

Total missing

14,630

Total

17,189

+
+
+
+

Row

+
+

education

+

Highest level of education completed
+If age 18+

+

Label

Value

Counts

Percentages

Less than high school

1

167

1.4%

High school graduate/GED

2

522

4.2%

Some college

3

1,180

9.5%

Vocational/technical training

4

251

2.0%

Associate degree

5

496

4.0%

Bachelor's degree

6

4,533

36.7%

Graduate/post-graduate degree

7

4,759

38.5%

Prefer not to answer

999

458

3.7%

Missing Response

995

4,823

Total valid

12,366

100.0%

Total missing

4,823

Total

17,189

+
+
+
+

Row

+
+

school_type

+

Type of school attends
+If person is a surveyable adult student OR under 16 and surveyable

+

Label

Value

Counts

Percentages

Cared for at home

1

241

7.4%

Daycare outside home

2

153

4.7%

Preschool

3

188

5.8%

Home school

4

43

1.3%

Elementary school (public, private, charter)

5

754

23.3%

Middle school (public, private, charter)

6

330

10.2%

High school (public, private, charter)

7

442

13.7%

Vocational/technical school

10

72

2.2%

2-year college

11

277

8.6%

4-year college

12

206

6.4%

Graduate or professional school

13

337

10.4%

Other

997

195

6.0%

Missing Response

995

13,951

Total valid

3,238

100.0%

Total missing

13,951

Total

17,189

+
+
+
+

Row

+
+

school_freq

+

Frequency of travel to school
+If person is a student under 18 who attends some or all in-person +classes or attends daycare outside the home

+

Label

Value

Counts

Percentages

6-7 days a week

1

27

1.5%

5 days a week

2

1,681

91.9%

4 days a week

3

24

1.3%

3 days a week

4

32

1.7%

2 days a week

5

26

1.4%

1 day a week

6

6

0.3%

1-3 days a month

7

2

0.1%

Less than monthly

8

4

0.2%

Never

996

28

1.5%

Missing Response

995

15,359

Total valid

1,830

100.0%

Total missing

15,359

Total

17,189

+
+
+
+

Row

+
+

remote_class_freq

+

Frequency of remote schooling
+If person is a student and not cared for at home nor daycare outside +home

+

Label

Value

Counts

Percentages

6-7 days a week

1

68

2.4%

5 days a week

2

170

6.0%

4 days a week

3

58

2.0%

3 days a week

4

112

3.9%

2 days a week

5

159

5.6%

1 day a week

6

177

6.2%

1-3 days a month

7

75

2.6%

Less than monthly

8

162

5.7%

Never

996

1,861

65.5%

Missing Response

995

14,347

Total valid

2,842

100.0%

Total missing

14,347

Total

17,189

+
+
+
+

Row

+
+

school_in_region

+

School in study region
+If person is under 16 or an adult student, surveyable, and attends +school in-person

+

Label

Value

Counts

Percentages

No

0

54

2.1%

Yes

1

2,524

97.9%

Missing Response

995

14,611

Total valid

2,578

100.0%

Total missing

14,611

Total

17,189

+
+
+
+

Row

+
+

second_home

+

Regularly spends the night at a second home (e.g., another parent or +grandparent’s house, partner or spouse’s home, or a vacation home)
+If person is surveyable

+

Label

Value

Counts

Percentages

Does not regularly spend night at second home

0

15,322

93.6%

Regularly spends night at second home

1

1,050

6.4%

Missing Response

995

817

Total valid

16,372

100.0%

Total missing

817

Total

17,189

+
+
+
+

Row

+
+

second_home_in_region

+

Second home in study region
+If person regularly spends the night at a second home

+

Label

Value

Counts

Percentages

No

0

249

23.7%

Yes

1

801

76.3%

Missing Response

995

16,139

Total valid

1,050

100.0%

Total missing

16,139

Total

17,189

+
+
+
+

Row

+
+

clipper_card

+

Has a Clipper Card
+If age 18+ and surveyable

+

Label

Value

Counts

Percentages

Yes

1

9,572

67.7%

No

2

4,577

32.3%

Missing Response

995

3,040

Total valid

14,149

100.0%

Total missing

3,040

Total

17,189

+
+
+
+

Row

+
+

clipper_card_use

+

How Clipper Card is used
+If person has a Clipper Card

+

Label

Variable Name

Counts

Percentages

Missing Counts

Load with Clipper Cash

clipper_card_use_1

8,739

91.3%

7,617

Load with transit pass(es)

clipper_card_use_2

1,474

15.4%

7,617

+
+
+
+

Row

+
+

transit_pass

+

Ownership/type of transit pass
+If person uses transit and does NOT load their Clipper Card with transit +pass(es)

+

Label

Value

Counts

Percentages

No

0

12,064

95.2%

Yes

1

611

4.8%

Missing Response

995

4,514

Total valid

12,675

100.0%

Total missing

4,514

Total

17,189

+
+
+
+

Row

+
+

transit_pass_cost

+

Monthly cost for a transit pass
+If person has a transit pass or a Clipper Card loaded with transit +pass(es)

+

Label

Value

Counts

Percentages

Knows amount paid

1

1,149

55.1%

Don't know

998

936

44.9%

Missing Response

995

15,104

Total valid

2,085

100.0%

Total missing

15,104

Total

17,189

+
+
+
+

Row

+
+

commute_subsidy

+

Commute benefits provided by employer
+If person is employed full/part/self/volunteer/furloughed

+

Label

Variable Name

Counts

Percentages

Missing Counts

Free (fully subsidized) parking at work

commute_subsidy_3

3,916

40.9%

7,626

Discounted (partially subsidized) parking at work

commute_subsidy_4

408

4.3%

7,626

Ability to work from home

commute_subsidy_5

2,735

28.6%

7,626

Free/discount transit fare

commute_subsidy_6

1,704

17.8%

7,626

Free/discount vanpool

commute_subsidy_7

328

3.4%

7,626

Cash or incentives for carpooling, walking, or biking to work

commute_subsidy_8

495

5.2%

7,626

Free/discount Uber, Lyft, or other smartphone-app ride service

commute_subsidy_9

200

2.1%

7,626

Free/discount carshare membership/use (e.g., ZipCar)

commute_subsidy_10

65

0.7%

7,626

Free/discount shuttle service

commute_subsidy_11

871

9.1%

7,626

Free/discount bikeshare membership

commute_subsidy_12

149

1.6%

7,626

Free/discount bicycle tune-up/maintinance

commute_subsidy_13

211

2.2%

7,626

Commute coordination/education

commute_subsidy_14

291

3.0%

7,626

None of the above

commute_subsidy_996

2,722

28.5%

7,626

Other

commute_subsidy_997

437

4.6%

7,626

Don't know

commute_subsidy_998

494

5.2%

7,626

+
+
+
+

Row

+
+

commute_subsidy_use

+

Commute benefit used
+If person’s employer provides this benefit

+

Label

Variable Name

Counts

Percentages

Missing Counts

Free (fully subsidized) parking at work

commute_subsidy_use_3

3,188

51.8%

11,037

Discounted (partially subsidized) parking at work

commute_subsidy_use_4

169

2.7%

11,037

Ability to work from home

commute_subsidy_use_5

2,468

40.1%

11,037

Free/discount transit fare

commute_subsidy_use_6

829

13.5%

11,037

Free/discount vanpool

commute_subsidy_use_7

27

0.4%

11,037

Cash or incentives for carpooling, walking, or biking to work

commute_subsidy_use_8

110

1.8%

11,037

Free/discount Uber, Lyft, or other smartphone-app ride service

commute_subsidy_use_9

72

1.2%

11,037

Free/discount carshare membership/use (e.g., ZipCar)

commute_subsidy_use_10

14

0.2%

11,037

Free/discount shuttle service

commute_subsidy_use_11

370

6.0%

11,037

Free/discount bikeshare membership

commute_subsidy_use_12

32

0.5%

11,037

Free/discount bicycle tune-up/maintinance

commute_subsidy_use_13

36

0.6%

11,037

Commute coordination/education

commute_subsidy_use_14

39

0.6%

11,037

None of the above

commute_subsidy_use_996

939

15.3%

11,037

+
+
+
+

Row

+
+

work_amenity

+

Work amenity
+If person travels to a work location

+

Label

Variable Name

Counts

Percentages

Missing Counts

Onsite child-care facility

work_amenity_1

373

4.9%

9,622

Dedicated bicycle parking/storage

work_amenity_2

2,822

37.3%

9,622

Dedicated lockers/storage for deliveries

work_amenity_3

702

9.3%

9,622

Dedicated storage area for family items (e.g., strollers)

work_amenity_4

160

2.1%

9,622

Bicycle repair station (e.g., in building, garage)

work_amenity_5

457

6.0%

9,622

Shared bicycles for employee use

work_amenity_6

441

5.8%

9,622

Showers/clothes lockers

work_amenity_7

2,001

26.4%

9,622

Bicycle valet parking

work_amenity_8

74

1.0%

9,622

None of the above

work_amenity_996

3,263

43.1%

9,622

Don't know

work_amenity_998

732

9.7%

9,622

+
+
+
+

Row

+
+

work_amenity_use

+

Work amenity_use
+If person has this amenity available at work

+

Label

Variable Name

Counts

Percentages

Missing Counts

Onsite child-care facility

work_amenity_use_1

29

0.8%

13,617

Dedicated bicycle parking/storage

work_amenity_use_2

608

17.0%

13,617

Deditcated lockers/storage for deliveries

work_amenity_use_3

214

6.0%

13,617

Dedicated storage area for family items (e.g., strollers)

work_amenity_use_4

26

0.7%

13,617

Bicycle repair station (e.g., in building, garage)

work_amenity_use_5

89

2.5%

13,617

Shared bicycles for employee use

work_amenity_use_6

140

3.9%

13,617

Showers/clothes lockers

work_amenity_use_7

583

16.3%

13,617

Bicycle valet parking

work_amenity_use_8

9

0.3%

13,617

None of the above

work_amenity_use_996

2,307

64.6%

13,617

Don't know

work_amenity_use_998

26

0.7%

13,617

+
+
+
+

Row

+
+

work_park

+

How parking at work is typically paid for
+If person travels to a work location

+

Label

Value

Counts

Percentages

Parking is always free at/near work, at park & ride, etc.

1

4,361

57.6%

Employer pays ALL parking costs (for me)

2

426

5.6%

Employer offers discounted parking (I pay some)

3

145

1.9%

I personally pay some or all parking costs (employer pays none)

4

712

9.4%

Not applicable (I never drive to work)

996

1,826

24.1%

Don't know

998

98

1.3%

Missing Response

995

9,621

Total valid

7,568

100.0%

Total missing

9,621

Total

17,189

+
+
+
+

Row

+
+

work_pay_cost

+

How much person personally pays to park at/near work
+If person pays for all or part of their parking at work

+

Label

Value

Counts

Percentages

Cost reported per day

1

437

51.0%

Cost reported per week

2

37

4.3%

Cost reported per month

3

190

22.2%

Cost reported per year

4

50

5.8%

Don't know

998

143

16.7%

Missing Response

995

16,332

Total valid

857

100.0%

Total missing

16,332

Total

17,189

+
+
+
+

Row

+
+

home_park_pass

+

Does vehicle have a permit/pass for parking at/near home
+If vehicle driven most is a household vehicle

+

Label

Value

Counts

Percentages

Yes, vehicle has permit/pass for parking at/near home

1

1,431

13.0%

No permit/pass needed – typically park at home

2

8,178

74.2%

No permit/pass needed – typically park on street

3

1,189

10.8%

No permit/pass needed – typically park elsewhere

4

227

2.1%

Missing Response

995

6,164

Total valid

11,025

100.0%

Total missing

6,164

Total

17,189

+
+
+
+

Row

+
+

home_park_cost

+

Cost for permit/pass to park at/near home
+If person’s vehicle has a permit/pass for parking at home

+

Label

Value

Counts

Percentages

Cost reported per day

1

87

6.1%

Cost reported per week

2

11

0.8%

Cost reported per month

3

266

18.6%

Cost reported per year

4

587

41.0%

Don't know

998

479

33.5%

Missing Response

995

15,759

Total valid

1,430

100.0%

Total missing

15,759

Total

17,189

+
+
+
+

Row

+
+

home_vehicle_park

+

Where vehicle is usually parked at home
+If rMove respondent or bMove and person 1, who is licensed and has +household vehicles

+

Label

Value

Counts

Percentages

Home driveway/garage

1

7,798

75.7%

Parking lot/garage

2

984

9.6%

On-street parking

3

1,518

14.7%

Missing Response

995

6,889

Total valid

10,300

100.0%

Total missing

6,889

Total

17,189

+
+
+
+

Row

+
+

home_vehicle_park_pay

+

Does person pay to park vehicle at home
+If rMove respondent or bMove and person 1, who is licensed and has +household vehicles

+

Label

Value

Counts

Percentages

No

0

9,469

91.9%

Yes

1

831

8.1%

Missing Response

995

6,889

Total valid

10,300

100.0%

Total missing

6,889

Total

17,189

+
+
+
+

Row

+
+

home_vehicle_pay_type

+

How does person pay to park vehicle at home
+If person pays to park at home

+

Label

Value

Counts

Percentages

I pay a separate parking fee to my landlord depending on how many parking spots I use

1

300

36.1%

I pay a separate parking fee to my landlord which is required/bundled with my rent

2

316

38.0%

I pay to park somewhere else

3

215

25.9%

Missing Response

995

16,358

Total valid

831

100.0%

Total missing

16,358

Total

17,189

+
+
+
+

Row

+
+

residence_benefits

+

Benefits provided by apartment building
+If person lives in a building/complex with multiple units or +age-restricted apartments/condos

+

Label

Variable Name

Counts

Percentages

Missing Counts

Free/discount transit fare

residence_benefits_1

57

1.1%

11,979

Free/discount vanpool

residence_benefits_2

22

0.4%

11,979

Free/discount Uber, Lyft trips

residence_benefits_3

16

0.3%

11,979

Free/discount bikeshare membership

residence_benefits_4

15

0.3%

11,979

Free/discount bicycle tune-up service

residence_benefits_5

14

0.3%

11,979

Free/discount carshare membership/use

residence_benefits_6

18

0.3%

11,979

Free/discount shuttle service

residence_benefits_7

83

1.6%

11,979

Cash payment to not park vehicle at residence

residence_benefits_8

9

0.2%

11,979

None of the Above

residence_benefits_996

4,847

93.0%

11,979

Don't know

residence_benefits_998

182

3.5%

11,979

+
+
+
+

Row

+
+

residence_benefits_use

+

Benefits offered by apartment building that are used
+If person’s apartment building provides this benefit

+

Label

Variable Name

Counts

Percentages

Missing Counts

Free/discount transit fare

residence_benefits_use_1

36

19.9%

17,008

Free/discount vanpool

residence_benefits_use_2

4

2.2%

17,008

Free/discount Uber, Lyft trips

residence_benefits_use_3

6

3.3%

17,008

Free/discount bikeshare membership

residence_benefits_use_4

3

1.7%

17,008

Free/discount bicycle tune-up service

residence_benefits_use_5

3

1.7%

17,008

Free/discount carshare membership/use

residence_benefits_use_6

6

3.3%

17,008

Free/discount shuttle service

residence_benefits_use_7

28

15.5%

17,008

Cash payment to not park vehicle at residence

residence_benefits_use_8

4

2.2%

17,008

Don't know

residence_benefits_use_996

93

51.4%

17,008

None of the Above

residence_benefits_use_998

6

3.3%

17,008

+
+
+
+
+

Vehicle

+ +
+

Row

+
+

fuel_type

+

Vehicle fuel type

+

Label

Value

Counts

Percentages

Gas

1

9,298

77.6%

Hybrid (HEV)

2

1,118

9.3%

Plug-in hybrid (PHEV)

3

315

2.6%

Electric (EV)

4

1,095

9.1%

Diesel

5

119

1.0%

Flex fuel (FFV)

6

25

0.2%

Other (e.g., natural gas, bio-diesel)

997

14

0.1%

Total valid

11,984

100.0%

Total

11,984

+
+
+
+

Row

+
+

toll_transponder

+

Vehicle has toll transponder

+

Label

Value

Counts

Percentages

No

0

2,976

24.8%

Yes

1

9,008

75.2%

Total valid

11,984

100.0%

Total

11,984

+
+
+
+

Row

+
+

year

+

Vehicle year

+

Label

Value

Counts

Percentages

1980 or earlier

1980

141

1.2%

1981

1981

11

0.1%

1982

1982

3

0.0%

1983

1983

4

0.0%

1984

1984

10

0.1%

1985

1985

14

0.1%

1986

1986

17

0.1%

1987

1987

10

0.1%

1988

1988

9

0.1%

1989

1989

20

0.2%

1990

1990

20

0.2%

1991

1991

29

0.2%

1992

1992

24

0.2%

1993

1993

29

0.2%

1994

1994

31

0.3%

1995

1995

41

0.3%

1996

1996

47

0.4%

1997

1997

80

0.7%

1998

1998

98

0.8%

1999

1999

145

1.2%

2000

2000

171

1.4%

2001

2001

171

1.4%

2002

2002

185

1.5%

2003

2003

242

2.0%

2004

2004

280

2.3%

2005

2005

313

2.6%

2006

2006

357

3.0%

2007

2007

371

3.1%

2008

2008

342

2.9%

2009

2009

286

2.4%

2010

2010

412

3.4%

2011

2011

408

3.4%

2012

2012

475

4.0%

2013

2013

642

5.4%

2014

2014

612

5.1%

2015

2015

674

5.6%

2016

2016

704

5.9%

2017

2017

742

6.2%

2018

2018

791

6.6%

2019

2019

653

5.4%

2020

2020

550

4.6%

2021

2021

559

4.7%

2022

2022

553

4.6%

2023

2023

644

5.4%

2024

2024

64

0.5%

Total valid

11,984

100.0%

Total

11,984

+
+
+
+

Row

+
+

make

+

Vehicle make

+

Label

Value

Counts

Percentages

Acura

197

1.6%

Alfa Romeo

12

0.1%

Audi

200

1.7%

BMW

434

3.6%

Bentley

3

0.0%

Bertone

1

0.0%

Bugatti

1

0.0%

Buick

37

0.3%

Cadillac

29

0.2%

Chevrolet

492

4.1%

Chrysler

64

0.5%

Dodge

116

1.0%

Ferrari

3

0.0%

Fiat

30

0.3%

Fisker

1

0.0%

Ford

639

5.3%

GM Electric Vehicle

1

0.0%

GMC

65

0.5%

Genesis

10

0.1%

Geo

2

0.0%

Honda

1,882

15.7%

Hyundai

369

3.1%

Infiniti

71

0.6%

Isuzu

2

0.0%

Jaguar

11

0.1%

Jeep

137

1.1%

Kia

191

1.6%

Lamborghini

1

0.0%

Land Rover

23

0.2%

Lexus

431

3.6%

Lincoln

23

0.2%

Lotus

1

0.0%

Lucid

4

0.0%

MINI

130

1.1%

Maserati

1

0.0%

Mazda

502

4.2%

Mercedes-Benz

301

2.5%

Mercury

13

0.1%

Mitsubishi

33

0.3%

Nissan

504

4.2%

Oldsmobile

2

0.0%

Other

315

2.6%

Plymouth

2

0.0%

Polestar

13

0.1%

Pontiac

15

0.1%

Porsche

74

0.6%

Ram

28

0.2%

Rivian

10

0.1%

Saab

10

0.1%

Saturn

18

0.2%

Scion

52

0.4%

Subaru

667

5.6%

Suzuki

18

0.2%

Tesla

621

5.2%

Toyota

2,679

22.4%

VinFast

1

0.0%

Volkswagen

334

2.8%

Volvo

142

1.2%

smart

16

0.1%

Total valid

11,984

100.0%

Total

11,984

+
+
+
+

Row

+
+

model

+

Vehicle model

+

Label

Value

Counts

Percentages

86

1

0.0%

164

1

0.0%

190

1

0.0%

200

7

0.1%

240

5

0.0%

280

1

0.0%

300

7

0.1%

380

1

0.0%

500

9

0.1%

500e

8

0.1%

626

1

0.0%

900

3

0.0%

911

17

0.1%

1500

12

0.1%

2500

3

0.0%

3500

1

0.0%

1 series

6

0.1%

124 Spider

5

0.0%

1500 Classic

2

0.0%

2 series

13

0.1%

3 series

161

1.3%

3000GT

1

0.0%

300C

1

0.0%

300M

3

0.0%

300ZX

1

0.0%

328 GTB

1

0.0%

350Z

1

0.0%

370Z

3

0.0%

4 series

18

0.2%

4Runner

66

0.6%

5 series

43

0.4%

500 ABARTH

3

0.0%

500L

2

0.0%

500c

2

0.0%

550 Maranello

1

0.0%

6 series

1

0.0%

7 series

4

0.0%

718 Boxster

2

0.0%

718 Cayman

2

0.0%

8 series

1

0.0%

850 Series

5

0.0%

9-2X

1

0.0%

9-3

4

0.0%

9-5

1

0.0%

9-7X

1

0.0%

940 Series

6

0.1%

A-Class

2

0.0%

A3

26

0.2%

A3 Sportback e-tron

5

0.0%

A3/S3

1

0.0%

A4

43

0.4%

A4 allroad

3

0.0%

A5

7

0.1%

A6

9

0.1%

A8

2

0.0%

AMG GT

1

0.0%

ATS

5

0.0%

Acadia

3

0.0%

Accent

24

0.2%

Accord

347

2.9%

Accord Crosstour

1

0.0%

Accord Hybrid

31

0.3%

Aerio

1

0.0%

Air

4

0.0%

Allante

1

0.0%

Altima

95

0.8%

Amanti

1

0.0%

Ariya

2

0.0%

Armada

2

0.0%

Ascent

8

0.1%

Aspen

2

0.0%

Astro

4

0.0%

Atlas

2

0.0%

Atlas Cross Sport

2

0.0%

Avalanche

2

0.0%

Avalon

49

0.4%

Avalon Hybrid

2

0.0%

Avenger

5

0.0%

Aveo

1

0.0%

Aveo5

1

0.0%

Aviator

1

0.0%

Azera

2

0.0%

Azure

1

0.0%

B-Class

2

0.0%

B-Series

3

0.0%

BRZ

5

0.0%

Baja

2

0.0%

Beetle

8

0.1%

Blazer

3

0.0%

Blazer EV

1

0.0%

Bolt EUV

43

0.4%

Bolt EV

89

0.7%

Boxster

10

0.1%

Bronco

3

0.0%

Bronco Sport

5

0.0%

C-Class

63

0.5%

C-HR

12

0.1%

C-Max Energi

10

0.1%

C-Max Hybrid

14

0.1%

C1500

3

0.0%

C2500

1

0.0%

C30

6

0.1%

C3500

1

0.0%

C70

4

0.0%

CC

2

0.0%

CJ7

2

0.0%

CL

3

0.0%

CLA-Class

9

0.1%

CLK-Class

11

0.1%

CR-V

344

2.9%

CR-V Hybrid

19

0.2%

CR-Z

4

0.0%

CT 200h

28

0.2%

CT4

1

0.0%

CTS

2

0.0%

CTS-V

1

0.0%

CX-3

11

0.1%

CX-30

18

0.2%

CX-5

120

1.0%

CX-50

6

0.1%

CX-7

4

0.0%

CX-9

22

0.2%

CX-90

1

0.0%

Cabrio

2

0.0%

Caliber

2

0.0%

Camaro

14

0.1%

Camry

418

3.5%

Camry Hybrid

19

0.2%

Camry Solara

10

0.1%

Canyon

5

0.0%

Caprice

1

0.0%

Captiva Sport

1

0.0%

Caravan

9

0.1%

Carrera GT

1

0.0%

Cavalier

6

0.1%

Cayenne

13

0.1%

Cayman

8

0.1%

Celebrity

2

0.0%

Celica

4

0.0%

Century

2

0.0%

Challenger

9

0.1%

Charger

11

0.1%

Cherokee

20

0.2%

Chiron

1

0.0%

City Golf

1

0.0%

Civic

473

3.9%

Civic Type R

1

0.0%

Civic del SOL

5

0.0%

Clarity

29

0.2%

Clubman

2

0.0%

Cobalt

3

0.0%

Colorado

14

0.1%

Commander

1

0.0%

Compass

7

0.1%

Concorde

2

0.0%

Continental

1

0.0%

Cooper

111

0.9%

Cooper Countryman

11

0.1%

Corolla

403

3.4%

Corolla Cross

3

0.0%

Corolla Hatchback

5

0.0%

Corolla Hybrid

5

0.0%

Corsica

1

0.0%

Corvette

13

0.1%

Corvette Grand Sport

1

0.0%

Cougar

1

0.0%

Crossfire

1

0.0%

Crosstour

3

0.0%

Crosstrek

101

0.8%

Crown Hybrid

1

0.0%

Crown Victoria

9

0.1%

Cruze

19

0.2%

Cruze Limited

1

0.0%

Cutlass Supreme

1

0.0%

DTS

2

0.0%

Dakota

7

0.1%

Dart

3

0.0%

Defender 110

1

0.0%

Defender 130

1

0.0%

Deville

1

0.0%

Discovery Sport

3

0.0%

Durango

9

0.1%

E-450 Super Duty

1

0.0%

E-Class

54

0.5%

EL

1

0.0%

ELR

1

0.0%

EQB-Class

1

0.0%

EQS-Class

3

0.0%

ES 250

1

0.0%

ES 300

9

0.1%

ES 300h

18

0.2%

ES 330

6

0.1%

ES 350

51

0.4%

EV6

11

0.1%

EX35

2

0.0%

Echo

10

0.1%

Eclipse

1

0.0%

Econoline

10

0.1%

Ecosport

4

0.0%

Edge

24

0.2%

Elantra

78

0.7%

Elantra GT

7

0.1%

Elantra HEV

4

0.0%

Elantra Touring

4

0.0%

Eldorado

1

0.0%

Electrified G80

1

0.0%

Element

29

0.2%

Elise

1

0.0%

Enclave

3

0.0%

Encore

4

0.0%

Encore GX

1

0.0%

Endeavor

2

0.0%

Envision

1

0.0%

Eos

2

0.0%

Equinox

24

0.2%

Escalade

3

0.0%

Escalade ESV

1

0.0%

Escalade EXT

1

0.0%

Escape

79

0.7%

Escape Hybrid

11

0.1%

Escort

5

0.0%

EuroVan

5

0.0%

Excursion

3

0.0%

Expedition

11

0.1%

Expedition EL

1

0.0%

Expedition MAX

2

0.0%

Explorer

40

0.3%

Explorer Sport

1

0.0%

Explorer Sport Trac

4

0.0%

Express

3

0.0%

F-150

73

0.6%

F-150 Lightning

1

0.0%

F-250

15

0.1%

F-350

11

0.1%

F-450

1

0.0%

F-Pace

1

0.0%

F-Type

2

0.0%

F430

1

0.0%

FJ Cruiser

7

0.1%

FR-S

4

0.0%

FX35

4

0.0%

Fiesta

21

0.2%

Firebird

2

0.0%

Fit

204

1.7%

Five Hundred

1

0.0%

Flex

8

0.1%

Focus

55

0.5%

Forester

211

1.8%

Forte

13

0.1%

Frontier

33

0.3%

Fusion

48

0.4%

Fusion Energi

9

0.1%

Fusion Hybrid

15

0.1%

G-Class

2

0.0%

G1500

1

0.0%

G2500 Vandura

1

0.0%

G35

10

0.1%

G3500

1

0.0%

G3500 Vandura

1

0.0%

G35x

1

0.0%

G37

9

0.1%

G37x

3

0.0%

G5

1

0.0%

G6

1

0.0%

G70

1

0.0%

G8

1

0.0%

G80

1

0.0%

GL-Class

7

0.1%

GLA-Class

17

0.1%

GLB-Class

5

0.0%

GLC-Class

24

0.2%

GLE-Class

15

0.1%

GLK-Class

17

0.1%

GLS-Class

5

0.0%

GR Supra

2

0.0%

GR86

1

0.0%

GS 300

8

0.1%

GS 350

10

0.1%

GS 430

2

0.0%

GS 450h

2

0.0%

GS 460

1

0.0%

GTI

41

0.3%

GTO

1

0.0%

GTV-6

1

0.0%

GV60

3

0.0%

GV70

2

0.0%

GV80

2

0.0%

GX 460

4

0.0%

GX 470

6

0.1%

Galant

2

0.0%

Gallardo

1

0.0%

Genesis

9

0.1%

Genesis Coupe

2

0.0%

Giulia

4

0.0%

Gladiator

1

0.0%

Golf

35

0.3%

Golf Alltrack

10

0.1%

Golf R

1

0.0%

Golf SportWagen

21

0.2%

GranSport

1

0.0%

Grand Caravan

20

0.2%

Grand Cherokee

31

0.3%

Grand Cherokee L

2

0.0%

Grand Highlander Hybrid

1

0.0%

Grand Marquis

4

0.0%

Grand Voyager

1

0.0%

HHR

4

0.0%

HR-V

62

0.5%

Highlander

125

1.0%

Highlander Hybrid

13

0.1%

I-Pace

2

0.0%

I30

2

0.0%

ID.4

28

0.2%

ILX

11

0.1%

IS 200t

4

0.0%

IS 250

35

0.3%

IS 250C

1

0.0%

IS 300

10

0.1%

IS 350

8

0.1%

Impala

13

0.1%

Impreza

89

0.7%

Insight

33

0.3%

Integra

11

0.1%

Intrigue

1

0.0%

Ion

2

0.0%

Ioniq 5

19

0.2%

Ioniq 6

3

0.0%

Ioniq Electric

2

0.0%

Ioniq Hybrid

8

0.1%

Ioniq Plug-In Hybrid

7

0.1%

J30

1

0.0%

Jetta

69

0.6%

Jimmy

1

0.0%

Journey

3

0.0%

Juke

10

0.1%

Justy

1

0.0%

K1500

1

0.0%

K5

2

0.0%

Kicks

10

0.1%

Kona

12

0.1%

Kona EV

18

0.2%

L Series

3

0.0%

LC 500

2

0.0%

LEAF

83

0.7%

LR3

1

0.0%

LS 400

5

0.0%

LS 430

9

0.1%

LS 460

11

0.1%

LX 450

2

0.0%

LX 470

2

0.0%

LX 570

1

0.0%

LaCrosse

5

0.0%

Lancer

2

0.0%

Lancer Evolution

1

0.0%

Lancer Sportback

1

0.0%

Land Cruiser

7

0.1%

LeSabre

11

0.1%

Legacy

29

0.2%

Legend

1

0.0%

Liberty

8

0.1%

Lucerne

1

0.0%

Lumina

2

0.0%

M-Class

17

0.1%

M2

2

0.0%

M3

5

0.0%

M35

6

0.1%

M37

2

0.0%

M37x

1

0.0%

M4

2

0.0%

M45

1

0.0%

M5

1

0.0%

MDX

62

0.5%

MKC

2

0.0%

MKS

1

0.0%

MKX

5

0.0%

MKZ

5

0.0%

MPV

5

0.0%

MR2 Spyder

8

0.1%

MX-30 EV

1

0.0%

MX-5 Miata

35

0.3%

MX-5 Miata RF

8

0.1%

Macan

17

0.1%

Magnum

1

0.0%

Malibu

16

0.1%

Malibu Limited

1

0.0%

Mariner

1

0.0%

Mark VIII

1

0.0%

Matrix

24

0.2%

Maverick

8

0.1%

Maxima

11

0.1%

Mazda2

9

0.1%

Mazda3

162

1.4%

Mazda3 Hatchback

11

0.1%

Mazda5

20

0.2%

Mazda6

37

0.3%

Mazdaspeed3

2

0.0%

Metris

2

0.0%

Mirage

4

0.0%

Mirai

10

0.1%

Model 3

284

2.4%

Model S

58

0.5%

Model X

33

0.3%

Model Y

245

2.0%

Montego

1

0.0%

Montero

2

0.0%

Montero Sport

2

0.0%

Mountaineer

2

0.0%

Mulsanne

1

0.0%

Murano

10

0.1%

Murano CrossCabriolet

1

0.0%

Mustang

41

0.3%

Mustang Mach-E

23

0.2%

NV200

3

0.0%

NV3500

1

0.0%

NX 200t

7

0.1%

NX 300

4

0.0%

NX 300h

9

0.1%

NX 350

4

0.0%

NX 350h

4

0.0%

NX 450h+

1

0.0%

Navigator

2

0.0%

Navigator L

1

0.0%

Neon

2

0.0%

New Beetle

14

0.1%

Niro

32

0.3%

Niro EV

10

0.1%

Niro PHEV

12

0.1%

Nitro

2

0.0%

Ocean

1

0.0%

Odyssey

138

1.2%

Optima

17

0.1%

Other

522

4.4%

Outback

192

1.6%

Outlander

8

0.1%

Outlander PHEV

3

0.0%

Outlander Sport

3

0.0%

Outlook

1

0.0%

PT Cruiser

2

0.0%

Paceman

1

0.0%

Pacifica

20

0.2%

Palisade

4

0.0%

Panamera

2

0.0%

Park Avenue

1

0.0%

Paseo

2

0.0%

Passat

20

0.2%

Passport

3

0.0%

Pathfinder

13

0.1%

Patriot

8

0.1%

Pickup

34

0.3%

Pilot

70

0.6%

Pininfarina

1

0.0%

Polestar 1

1

0.0%

Polestar 2

12

0.1%

Prelude

1

0.0%

Previa

2

0.0%

Prius

462

3.9%

Prius Plug-In

26

0.2%

Prius Prime

55

0.5%

Prius c

79

0.7%

Prius v

39

0.3%

Prizm

5

0.0%

ProMaster 1500

4

0.0%

ProMaster 2500

3

0.0%

ProMaster 3500

1

0.0%

ProMaster City

1

0.0%

Protege

5

0.0%

Protege5

3

0.0%

Q3

11

0.1%

Q4 e-tron

4

0.0%

Q4 e-tron Sportback

2

0.0%

Q40

1

0.0%

Q5

37

0.3%

Q5 Sportback

1

0.0%

Q5 e

4

0.0%

Q50

6

0.1%

Q60

1

0.0%

Q7

11

0.1%

Q8

2

0.0%

Q8 e-tron

2

0.0%

QX30

1

0.0%

QX4

3

0.0%

QX50

4

0.0%

QX55

1

0.0%

QX60

10

0.1%

QX70

1

0.0%

QX80

1

0.0%

Quest

4

0.0%

R-Class

2

0.0%

R1S

8

0.1%

R1T

2

0.0%

R32

1

0.0%

RAV4

289

2.4%

RAV4 EV

2

0.0%

RAV4 Hybrid

10

0.1%

RAV4 Prime

24

0.2%

RC 300

1

0.0%

RC 350

7

0.1%

RDX

39

0.3%

RL

2

0.0%

RS5

1

0.0%

RSX

7

0.1%

RX 300

8

0.1%

RX 330

11

0.1%

RX 350

74

0.6%

RX 350L

2

0.0%

RX 350h

1

0.0%

RX 400h

8

0.1%

RX 450h

27

0.2%

RX 450hL

1

0.0%

RX 500h

1

0.0%

RX-7

1

0.0%

RX-8

1

0.0%

Rabbit

6

0.1%

Raider

1

0.0%

Rainier

1

0.0%

Ram Pickup

15

0.1%

Ram Truck

1

0.0%

Ram Van

4

0.0%

Range Rover

3

0.0%

Range Rover Evoque

6

0.1%

Range Rover Sport

7

0.1%

Ranger

40

0.3%

Regal

2

0.0%

Regal TourX

1

0.0%

Rendezvous

1

0.0%

Renegade

6

0.1%

Ridgeline

13

0.1%

Rio

7

0.1%

Rio Cinco

1

0.0%

Riviera

1

0.0%

Roadster

1

0.0%

Rodeo

1

0.0%

Rogue

70

0.6%

Rogue Select

3

0.0%

Rogue Sport

1

0.0%

Rondo

1

0.0%

Routan

1

0.0%

S Series

1

0.0%

S-Class

4

0.0%

S-Type

1

0.0%

S10

8

0.1%

S2000

9

0.1%

S3

5

0.0%

S4

2

0.0%

S40

4

0.0%

S5

3

0.0%

S60

18

0.2%

S70

2

0.0%

S80

3

0.0%

S90

1

0.0%

SC 300

1

0.0%

SC 400

1

0.0%

SC 430

3

0.0%

SL-Class

2

0.0%

SLK-Class

11

0.1%

SQ5

4

0.0%

SRX

2

0.0%

SSR

1

0.0%

STS

1

0.0%

SX4 Sedan

2

0.0%

Sable

2

0.0%

Safari

1

0.0%

Santa Cruz

1

0.0%

Santa Fe

23

0.2%

Santa Fe Hybrid

4

0.0%

Santa Fe Plug-In Hybrid

1

0.0%

Santa Fe Sport

8

0.1%

Santa Fe XL

3

0.0%

Savana

4

0.0%

Scrambler CJ8

1

0.0%

Sebring

4

0.0%

Sedona

6

0.1%

Seltos

1

0.0%

Sentra

54

0.5%

Sequoia

9

0.1%

Sienna

139

1.2%

Sierra

25

0.2%

Silverado

39

0.3%

Sky

2

0.0%

Skylark

1

0.0%

Solterra

1

0.0%

Sonata

50

0.4%

Sonata Hybrid

16

0.1%

Sonic

8

0.1%

Sonoma

1

0.0%

Sorento

11

0.1%

Sorento Hybrid

1

0.0%

Soul

35

0.3%

Soul EV

5

0.0%

Spark

13

0.1%

Spark EV

4

0.0%

Spectra

3

0.0%

Spider

2

0.0%

Sportage

14

0.1%

Sportage Hybrid

2

0.0%

Sprinter 2500

12

0.1%

Sprinter 3500

2

0.0%

Sprinter 3500 XD

1

0.0%

Stelvio

4

0.0%

Stinger

1

0.0%

Stratus

1

0.0%

Suburban

17

0.1%

Sunfire

1

0.0%

Supra

1

0.0%

T100

3

0.0%

TL

26

0.2%

TLX

9

0.1%

TSX

22

0.2%

TT

6

0.1%

Tacoma

149

1.2%

Tahoe

25

0.2%

Taos

5

0.0%

Taurus

8

0.1%

Taurus X

1

0.0%

Taycan

2

0.0%

Telluride

5

0.0%

Tercel

4

0.0%

Terrain

8

0.1%

Thunderbird

2

0.0%

Tiburon

3

0.0%

Tiguan

33

0.3%

Tiguan Limited

1

0.0%

Titan

10

0.1%

Touareg

3

0.0%

Town & Country

14

0.1%

Town Car

5

0.0%

Tracer

1

0.0%

Tracker

1

0.0%

TrailBlazer

10

0.1%

Transit Connect

7

0.1%

Transit Van

6

0.1%

Transit Wagon

1

0.0%

Transporter II

1

0.0%

Traverse

3

0.0%

Trax

5

0.0%

Tribute

6

0.1%

Trooper

1

0.0%

Truck

1

0.0%

Tucson

39

0.3%

Tucson Hybrid

2

0.0%

Tucson Plug-In Hybrid

3

0.0%

Tundra

51

0.4%

UX 200

2

0.0%

UX 250h

11

0.1%

V40

2

0.0%

V50

4

0.0%

V60

11

0.1%

V60 Cross Country

2

0.0%

V70

8

0.1%

V70 XC

1

0.0%

VF 8

1

0.0%

VUE

6

0.1%

Van

1

0.0%

Vanagon

4

0.0%

Veloster

7

0.1%

Venue

5

0.0%

Venza

25

0.2%

Verano

1

0.0%

Versa

49

0.4%

Versa Note

8

0.1%

Vibe

7

0.1%

Vigor

1

0.0%

Villager

1

0.0%

Volt

58

0.5%

Voyager

1

0.0%

W250 Pickup

3

0.0%

WRX

8

0.1%

WRX STI

3

0.0%

Windstar

1

0.0%

Wrangler

33

0.3%

Wrangler JK

1

0.0%

Wrangler Unlimited

14

0.1%

Wrangler Unlimited JK

1

0.0%

X-Type

1

0.0%

X1

28

0.2%

X1/9

1

0.0%

X2

3

0.0%

X3

52

0.4%

X4

2

0.0%

X5

27

0.2%

X6

1

0.0%

X7

1

0.0%

XC40

8

0.1%

XC60

17

0.1%

XC70

4

0.0%

XC90

28

0.2%

XF

1

0.0%

XK

1

0.0%

XK8

1

0.0%

XL-7

1

0.0%

XT5

5

0.0%

XV Crosstrek

15

0.1%

Xterra

11

0.1%

Yaris

48

0.4%

Yaris iA

3

0.0%

Yukon

6

0.1%

Yukon XL

7

0.1%

Z3

9

0.1%

Z4

8

0.1%

allroad

3

0.0%

bZ4X

1

0.0%

cube

5

0.0%

e-Golf

12

0.1%

e-tron

6

0.1%

fortwo

16

0.1%

i3

10

0.1%

i4 Gran Coupe

4

0.0%

iA

1

0.0%

iQ

3

0.0%

iX

1

0.0%

tC

9

0.1%

xA

11

0.1%

xB

12

0.1%

xD

12

0.1%

Total valid

11,984

100.0%

Total

11,984

+
+
+
+
+

Day

+ +
+

Row

+
+

hh_is_complete

+

Household day completion status

+

Label

Value

Counts

Percentages

Yes

1

91,588

100.0%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

hh_is_complete_a

+

Person’s household is complete under strict criteria A

+

Label

Value

Counts

Percentages

No

0

15,743

17.2%

Yes

1

75,845

82.8%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

hh_is_complete_b

+

Person’s household is complete under lenient criteria B

+

Label

Value

Counts

Percentages

No

0

4,263

4.7%

Yes

1

87,325

95.3%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

surveyable

+

Survey participant (related to primary member)

+

Label

Value

Counts

Percentages

Yes

1

91,588

100.0%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

is_participant

+

Active participant (age 18+ and surveyable)

+

Label

Value

Counts

Percentages

No

0

12,601

13.8%

Yes

1

78,987

86.2%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

is_complete

+

Is complete
+If surveyable

+

Label

Value

Counts

Percentages

No

0

14,601

15.9%

Yes

1

76,987

84.1%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

is_complete_a

+

Is complete under strict criteria A
+If surveyable

+

Label

Value

Counts

Percentages

No

0

29,991

32.7%

Yes

1

61,597

67.3%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

is_complete_b

+

Is complete under lenient criteria B
+If surveyable

+

Label

Value

Counts

Percentages

No

0

19,721

21.5%

Yes

1

71,867

78.5%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

travel_dow

+

Travel day of week

+

Label

Value

Counts

Percentages

Monday

1

13,479

14.7%

Tuesday

2

13,571

14.8%

Wednesday

3

13,528

14.8%

Thursday

4

13,402

14.6%

Friday

5

12,536

13.7%

Saturday

6

12,536

13.7%

Sunday

7

12,536

13.7%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

hh_day_complete

+

Day is complete for all household participants

+

Label

Value

Counts

Percentages

No

0

28,756

31.4%

Yes

1

62,832

68.6%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

hh_day_complete_a

+

Day is complete for all household participants under strict criteria +A

+

Label

Value

Counts

Percentages

No

0

47,258

51.6%

Yes

1

44,330

48.4%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

hh_day_complete_b

+

Day is complete for all household participants under lenient criteria +B

+

Label

Value

Counts

Percentages

No

0

35,369

38.6%

Yes

1

56,219

61.4%

Total valid

91,588

100.0%

Total

91,588

+
+
+
+

Row

+
+

begin_day

+

Where participant began their day

+

Label

Value

Counts

Percentages

Home

1

76,339

93.5%

Someone else's home

2

1,905

2.3%

Work

3

510

0.6%

Your/Their other home (e.g., other parent, second home)

4

873

1.1%

Traveling (e.g., red-eye flight)

5

150

0.2%

Temporary lodging (e.g., hotel, vacation rental)

7

1,548

1.9%

Other

997

361

0.4%

Missing Response

995

9,902

Total valid

81,686

100.0%

Total missing

9,902

Total

91,588

+
+
+
+

Row

+
+

end_day

+

Where participant ended their day

+

Label

Value

Counts

Percentages

Home

1

73,306

92.0%

Someone else's home

2

2,089

2.6%

Work

3

918

1.2%

Your/Their other home (e.g., other parent, second home)

4

833

1.0%

Traveling (e.g., red-eye flight)

5

229

0.3%

Temporary lodging (e.g., hotel, vacation rental)

7

1,678

2.1%

Other

997

590

0.7%

Missing Response

995

11,945

Total valid

79,643

100.0%

Total missing

11,945

Total

91,588

+
+
+
+

Row

+
+

school_daily

+

Student traveled to school
+If person is under 18 and attends all or some classes in-person

+

Label

Value

Counts

Percentages

Yes

1

6,146

62.5%

No

2

3,689

37.5%

Missing Response

995

81,753

Total valid

9,835

100.0%

Total missing

81,753

Total

91,588

+
+
+
+

Row

+
+

attend_school

+

Traveled to school
+If person attends in-person school or daycare at least some of the time +AND school was not selected as a purpose on travel day thus far for a +trip added to this child’s roster (copied trips are not checked)

+

Label

Variable Name

Counts

Percentages

Missing Counts

Yes, person traveled to school on date

attend_school_1

1,211

87.3%

90,201

Yes, person traveled to another location for school (e.g., friend's house, parent's work) on date

attend_school_2

18

1.3%

90,201

No, person did not travel to school on date

attend_school_3

148

10.7%

90,201

Don't know

attend_school_998

6

0.4%

90,201

Prefer not to answer

attend_school_999

15

1.1%

90,201

+
+
+
+

Row

+
+

attend_school_no

+

Reason for not attending school
+If did not attend school or daycare on travel day

+

Label

Variable Name

Counts

Percentages

Missing Counts

person was sick or quarantining

attend_school_no_1

65

43.9%

91,440

person attended class online from home

attend_school_no_2

11

7.4%

91,440

person attended class online from another location (e.g., friend's)

attend_school_no_3

0

0.0%

91,440

School was scheduled to be closed (e.g., vacation, holiday)

attend_school_no_4

35

23.6%

91,440

School was closed or adjusted due to weather event (e.g., snow delay)

attend_school_no_5

3

2.0%

91,440

Other

attend_school_no_997

30

20.3%

91,440

Don't know

attend_school_no_998

0

0.0%

91,440

Prefer not to answer

attend_school_no_999

4

2.7%

91,440

+
+
+
+

Row

+
+

delivery

+

Type of delivery
+If rMove respondent or bMove and person 1

+

Label

Variable Name

Counts

Percentages

Missing Counts

Take-out/prepared food delivered to home

delivery_2

3,739

4.9%

15,741

Someone came to do work at home (e.g., babysitter, housecleaning, lawn)

delivery_3

1,922

2.5%

15,741

Groceries delivered to home

delivery_4

1,621

2.1%

15,741

Received packages at home (e.g., USPS, FedEx, UPS)

delivery_5

24,615

32.5%

15,741

Received personal packages at work

delivery_6

498

0.7%

15,741

Received packages at another location (e.g., Amazon Locker, package pick-up point)

delivery_7

1,385

1.8%

15,741

Other items delivered to home (e.g., appliance)

delivery_8

427

0.6%

15,741

Other items delivered to work

delivery_9

471

0.6%

15,741

None of the above

delivery_996

45,753

60.3%

15,741

+
+
+
+

Row

+
+

made_travel

+

Made trips on travel day
+If person is using rMove, has zero trips for the day (at this point), +did not report going to school/daycare, and their begin and end day +locations are the same (except for “Other”)

+

Label

Value

Counts

Percentages

Yes, made trips

1

192

41.6%

No, did not go anywhere or make trips

2

198

42.9%

Don't know

998

46

10.0%

Prefer not to answer

999

26

5.6%

Missing Response

995

91,126

Total valid

462

100.0%

Total missing

91,126

Total

91,588

+
+
+
+

Row

+
+

no_travel

+

Reason for no travel on date
+If person is using rMove and made_travel is no or don’t know OR if +person is not using rMove and reported zero trips

+

Label

Variable Name

Counts

Percentages

Missing Counts

I did make trips today

no_travel_1

1,902

12.8%

76,766

Not scheduled to work/took day off

no_travel_2

1,714

11.6%

76,766

Worked at home for pay (e.g., telework)

no_travel_3

3,525

23.8%

76,766

Hung out around home

no_travel_4

6,978

47.1%

76,766

Scheduled school closure (e.g., holiday)

no_travel_5

38

0.3%

76,766

No available transportation (e.g., no car, no bus)

no_travel_6

122

0.8%

76,766

Sick or quarantining (self or others)

no_travel_7

1,226

8.3%

76,766

Waited for visitor/delivery (e.g., plumber)

no_travel_8

331

2.2%

76,766

Kids did online/remote/home school

no_travel_9

37

0.2%

76,766

Weather conditions (e.g., snowstorm)

no_travel_11

403

2.7%

76,766

Person may have made trips, but I don't know when or where

no_travel_12

48

0.3%

76,766

Other reason

no_travel_99

975

6.6%

76,766

+
+
+
+
+

Trip

+ +
+

Row

+
+

hh_is_complete

+

Household day completion status

+

Label

Value

Counts

Percentages

Yes

1

373,511

100.0%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+

Row

+
+

travel_dow

+

Travel day of week

+

Label

Value

Counts

Percentages

Monday

1

49,255

13.2%

Tuesday

2

55,036

14.7%

Wednesday

3

55,075

14.7%

Thursday

4

55,534

14.9%

Friday

5

56,483

15.1%

Saturday

6

55,694

14.9%

Sunday

7

46,434

12.4%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+

Row

+
+

day_is_complete

+

Day survey completion status

+

Label

Value

Counts

Percentages

No

0

32,627

8.7%

Yes

1

340,884

91.3%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+

Row

+
+

trip_survey_complete

+

Trip survey completion status

+

Label

Value

Counts

Percentages

No

0

10,407

2.9%

Yes

1

350,787

97.1%

Missing Response

995

12,317

Total valid

361,194

100.0%

Total missing

12,317

Total

373,511

+
+
+
+

Row

+
+

o_in_region

+

Origin in study region

+

Label

Value

Counts

Percentages

No

0

17,791

4.8%

Yes

1

355,720

95.2%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+

Row

+
+

d_in_region

+

Destination is in study region

+

Label

Value

Counts

Percentages

No

0

18,134

4.9%

Yes

1

355,377

95.1%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+

Row

+
+

driver

+

Driver of vehicle
+If trip mode (or transit access/egress mode) is a vehicle or motorcycle, +and there are 2 or more travelers (unless all others are unlicensed +household members)

+

Label

Value

Counts

Percentages

Driver

1

149,904

75.3%

Passenger

2

48,442

24.3%

Both (switched drivers during trip)

3

702

0.4%

Missing Response

995

174,463

Total valid

199,048

100.0%

Total missing

174,463

Total

373,511

+
+
+
+

Row

+
+

mode_type

+

Mode type

+

Label

Value

Counts

Percentages

Walk

1

102,667

28.3%

Bike

2

9,349

2.6%

Bikeshare

3

636

0.2%

Scootershare

4

264

0.1%

Taxi

5

292

0.1%

TNC

6

3,939

1.1%

Other

7

1,925

0.5%

Car

8

220,623

60.7%

Carshare

9

380

0.1%

School bus

10

57

0.0%

Shuttle/vanpool

11

1,434

0.4%

Ferry

12

341

0.1%

Transit

13

20,502

5.6%

Long distance passenger

14

905

0.2%

Missing Response

995

10,197

Total valid

363,314

100.0%

Total missing

10,197

Total

373,511

+
+
+
+

Row

+
+

mode_1

+

Trip mode 1

+

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

78,004

22.4%

Standard bicycle (my household's)

2

6,944

2.0%

Borrowed bicycle (e.g., a friend's)

3

65

0.0%

Other rented bicycle

4

28

0.0%

Other

5

1,124

0.3%

Household vehicle 1

6

139,029

39.8%

Household vehicle 2

7

50,350

14.4%

Household vehicle 3

8

8,151

2.3%

Household vehicle 4

9

1,468

0.4%

Household vehicle 5

10

210

0.1%

Household vehicle 6

11

72

0.0%

Household vehicle 7

12

24

0.0%

Household vehicle 8

13

5

0.0%

Other vehicle in household

16

2,837

0.8%

Rental car

17

2,240

0.6%

Carshare service (e.g., Zipcar)

18

247

0.1%

Vanpool

21

10

0.0%

Other vehicle (not my household's)

22

639

0.2%

Local (public) bus

23

17,160

4.9%

School bus

24

47

0.0%

Intercity bus (e.g., Greyhound, Megabus)

25

23

0.0%

Other private shuttle/bus (e.g., a hotel's, an airport's)

26

323

0.1%

Paratransit/Dial-A-Ride

27

10

0.0%

Other bus

28

142

0.0%

BART

30

6,380

1.8%

Airplane/helicopter

31

835

0.2%

Car from work

33

2,992

0.9%

Friend/relative/colleague's car

34

11,777

3.4%

Regular taxi (e.g., Yellow Cab)

36

202

0.1%

University/college shuttle/bus

38

201

0.1%

Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)

41

1,677

0.5%

Other rail

42

631

0.2%

Skateboard or rollerblade

43

90

0.0%

Golf cart

44

62

0.0%

ATV

45

22

0.0%

Other motorcycle in household

47

79

0.0%

Uber, Lyft, or other smartphone-app ride service

49

4,022

1.2%

MUNI Metro

53

4,098

1.2%

Other motorcycle (not my household's)

54

8

0.0%

Express bus or Transbay bus

55

418

0.1%

Peer-to-peer car rental (e.g., Turo)

59

75

0.0%

Other hired car service (e.g., black car, limo)

60

127

0.0%

Rapid transit bus (BRT)

61

423

0.1%

Employer-provided shuttle/bus

62

780

0.2%

Medical transportation service

63

115

0.0%

Local (private) bus (e.g., RapidShuttle, SuperShuttle)

67

202

0.1%

Cable car or streetcar

68

186

0.1%

Bike-share - standard bicycle

69

261

0.1%

Bike-share - electric bicycle

70

350

0.1%

Moped-share (e.g., Scoot)

73

12

0.0%

Segway

74

16

0.0%

Other

75

63

0.0%

Carpool match (e.g., Waze Carpool)

76

59

0.0%

Personal scooter or moped (not shared)

77

952

0.3%

Public ferry or water taxi

78

296

0.1%

Other boat (e.g., kayak)

80

73

0.0%

Electric bicycle (my household's)

82

2,107

0.6%

Scooter-share (e.g., Bird, Lime)

83

148

0.0%

Missing Response

995

24,620

Total valid

348,891

100.0%

Total missing

24,620

Total

373,511

+
+
+
+

Row

+
+

mode_2

+

Trip mode 2

+

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

10,571

46.1%

Standard bicycle (my household's)

2

638

2.8%

Borrowed bicycle (e.g., a friend's)

3

3

0.0%

Other rented bicycle

4

13

0.1%

Other

5

345

1.5%

Household vehicle 1

6

2,040

8.9%

Household vehicle 2

7

819

3.6%

Household vehicle 3

8

30

0.1%

Household vehicle 4

9

27

0.1%

Household vehicle 5

10

7

0.0%

Household vehicle 6

11

4

0.0%

Other vehicle in household

16

49

0.2%

Rental car

17

34

0.1%

Carshare service (e.g., Zipcar)

18

14

0.1%

Vanpool

21

6

0.0%

Other vehicle (not my household's)

22

103

0.4%

Local (public) bus

23

634

2.8%

School bus

24

14

0.1%

Intercity bus (e.g., Greyhound, Megabus)

25

8

0.0%

Other private shuttle/bus (e.g., a hotel's, an airport's)

26

40

0.2%

Paratransit/Dial-A-Ride

27

23

0.1%

Other bus

28

161

0.7%

BART

30

2,595

11.3%

Airplane/helicopter

31

31

0.1%

Car from work

33

63

0.3%

Friend/relative/colleague's car

34

578

2.5%

Regular taxi (e.g., Yellow Cab)

36

30

0.1%

University/college shuttle/bus

38

133

0.6%

Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)

41

300

1.3%

Other rail

42

376

1.6%

Skateboard or rollerblade

43

10

0.0%

ATV

45

3

0.0%

Other motorcycle in household

47

19

0.1%

Uber, Lyft, or other smartphone-app ride service

49

259

1.1%

MUNI Metro

53

1,760

7.7%

Other motorcycle (not my household's)

54

8

0.0%

Express bus or Transbay bus

55

249

1.1%

Peer-to-peer car rental (e.g., Turo)

59

2

0.0%

Other hired car service (e.g., black car, limo)

60

12

0.1%

Rapid transit bus (BRT)

61

136

0.6%

Employer-provided shuttle/bus

62

360

1.6%

Medical transportation service

63

9

0.0%

Local (private) bus (e.g., RapidShuttle, SuperShuttle)

67

29

0.1%

Cable car or streetcar

68

34

0.1%

Bike-share - standard bicycle

69

60

0.3%

Bike-share - electric bicycle

70

56

0.2%

Moped-share (e.g., Scoot)

73

5

0.0%

Segway

74

2

0.0%

Other

75

22

0.1%

Carpool match (e.g., Waze Carpool)

76

6

0.0%

Personal scooter or moped (not shared)

77

96

0.4%

Public ferry or water taxi

78

66

0.3%

Other boat (e.g., kayak)

80

4

0.0%

Electric bicycle (my household's)

82

28

0.1%

Scooter-share (e.g., Bird, Lime)

83

9

0.0%

Missing Response

995

350,578

Total valid

22,933

100.0%

Total missing

350,578

Total

373,511

+
+
+
+

Row

+
+

mode_3

+

Trip mode 3

+

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

2,880

60.7%

Standard bicycle (my household's)

2

25

0.5%

Borrowed bicycle (e.g., a friend's)

3

3

0.1%

Other

5

57

1.2%

Household vehicle 1

6

396

8.4%

Household vehicle 2

7

93

2.0%

Household vehicle 3

8

7

0.1%

Household vehicle 4

9

13

0.3%

Other vehicle in household

16

9

0.2%

Rental car

17

13

0.3%

Carshare service (e.g., Zipcar)

18

6

0.1%

Vanpool

21

3

0.1%

Other vehicle (not my household's)

22

32

0.7%

Local (public) bus

23

59

1.2%

Intercity bus (e.g., Greyhound, Megabus)

25

6

0.1%

Paratransit/Dial-A-Ride

27

2

0.0%

Other bus

28

29

0.6%

BART

30

224

4.7%

Airplane/helicopter

31

29

0.6%

Car from work

33

8

0.2%

Friend/relative/colleague's car

34

218

4.6%

University/college shuttle/bus

38

55

1.2%

Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)

41

8

0.2%

Other rail

42

61

1.3%

Skateboard or rollerblade

43

3

0.1%

Other motorcycle in household

47

7

0.1%

Uber, Lyft, or other smartphone-app ride service

49

55

1.2%

MUNI Metro

53

207

4.4%

Express bus or Transbay bus

55

35

0.7%

Peer-to-peer car rental (e.g., Turo)

59

3

0.1%

Other hired car service (e.g., black car, limo)

60

3

0.1%

Rapid transit bus (BRT)

61

11

0.2%

Employer-provided shuttle/bus

62

84

1.8%

Medical transportation service

63

1

0.0%

Cable car or streetcar

68

16

0.3%

Bike-share - standard bicycle

69

4

0.1%

Bike-share - electric bicycle

70

25

0.5%

Carpool match (e.g., Waze Carpool)

76

4

0.1%

Personal scooter or moped (not shared)

77

1

0.0%

Public ferry or water taxi

78

38

0.8%

Scooter-share (e.g., Bird, Lime)

83

8

0.2%

Missing Response

995

368,770

Total valid

4,741

100.0%

Total missing

368,770

Total

373,511

+
+
+
+

Row

+
+

mode_4

+

Trip mode 4

+

Label

Value

Counts

Percentages

Walk (or jog/wheelchair)

1

403

60.2%

Standard bicycle (my household's)

2

2

0.3%

Household vehicle 1

6

12

1.8%

Household vehicle 2

7

5

0.7%

Other vehicle (not my household's)

22

2

0.3%

Local (public) bus

23

9

1.3%

Other bus

28

8

1.2%

BART

30

9

1.3%

Airplane/helicopter

31

8

1.2%

Friend/relative/colleague's car

34

56

8.4%

University/college shuttle/bus

38

11

1.6%

Intercity/Commuter rail (e.g., Altamount ACE, Amtrak, Caltrain)

41

1

0.1%

Other rail

42

15

2.2%

Uber, Lyft, or other smartphone-app ride service

49

3

0.4%

MUNI Metro

53

45

6.7%

Express bus or Transbay bus

55

5

0.7%

Peer-to-peer car rental (e.g., Turo)

59

3

0.4%

Other hired car service (e.g., black car, limo)

60

1

0.1%

Rapid transit bus (BRT)

61

3

0.4%

Employer-provided shuttle/bus

62

12

1.8%

Medical transportation service

63

15

2.2%

Cable car or streetcar

68

16

2.4%

Bike-share - standard bicycle

69

12

1.8%

Bike-share - electric bicycle

70

7

1.0%

Electric bicycle (my household's)

82

6

0.9%

Missing Response

995

372,842

Total valid

669

100.0%

Total missing

372,842

Total

373,511

+
+
+
+

Row

+
+

transit_type

+

Payment method for transit
+If not a proxy survey and trip mode is bus (except school bus or private +bus) or rail

+

Label

Value

Counts

Percentages

Free (no cost at all)

1

5,305

11.0%

Pass loaded on a Clipper Card

2

21,610

44.7%

Cash, credit card, or ticket(s)

3

3,826

7.9%

Don't know

4

221

0.5%

Used a transfer from a previous transit trip

6

92

0.2%

Clipper Cash

7

17,340

35.8%

Missing Response

995

325,117

Total valid

48,394

100.0%

Total missing

325,117

Total

373,511

+
+
+
+

Row

+
+

transit_access

+

Mode used to access transit stop
+If trip mode is bus or rail

+

Label

Value

Counts

Percentages

Walked (or jogged/wheelchair)

1

36,314

74.2%

Bicycle

2

1,586

3.2%

Transferred from another bus

3

4,760

9.7%

Micromobility (e.g., scooter, moped, skateboard)

4

352

0.7%

Transferred from other transit (e.g., rail, air)

5

2,675

5.5%

Uber/Lyft, taxi, or car service

6

220

0.4%

Drove and parked my own household's vehicle (or motorcycle)

7

1,422

2.9%

Drove and parked another vehicle (or motorcycle)

8

99

0.2%

Got dropped off in my own household's vehicle (or motorcycle)

9

547

1.1%

Got dropped off in another vehicle (or motorcycle)

10

387

0.8%

Other

997

582

1.2%

Missing Response

995

324,567

Total valid

48,944

100.0%

Total missing

324,567

Total

373,511

+
+
+
+

Row

+
+

transit_egress

+

Mode used to leave transit stop
+If trip mode is bus or rail

+

Label

Value

Counts

Percentages

Walked (or jogged/wheelchair)

1

36,803

75.2%

Bicycle

2

1,497

3.1%

Transferred to another bus

3

4,960

10.1%

Micromobility (e.g., scooter, moped, skateboard)

4

396

0.8%

Transferred to other transit (e.g., rail, air)

5

2,846

5.8%

Uber/Lyft, taxi, or car service

6

209

0.4%

Drove my own household's vehicle (or motorcycle)

7

979

2.0%

Drove another vehicle (or motorcycle)

8

70

0.1%

Got picked up in my own household's vehicle (or motorcycle)

9

351

0.7%

Got picked up in another vehicle (or motorcycle)

10

277

0.6%

Other

997

555

1.1%

Missing Response

995

324,568

Total valid

48,943

100.0%

Total missing

324,568

Total

373,511

+
+
+
+

Row

+
+

taxi_type

+

Type of taxi used on trip
+If trip mode, transit access, or transit egress mode is Uber/Lyft, taxi, +or car service

+

Label

Value

Counts

Percentages

I paid the fare myself (no reimbursement)

1

2,811

59.7%

Employer paid (I am reimbursed)

2

644

13.7%

Split/shared fare with other(s)

3

339

7.2%

Someone else paid 100% (all of fare)

4

774

16.4%

Other

5

142

3.0%

Missing Response

995

368,801

Total valid

4,710

100.0%

Total missing

368,801

Total

373,511

+
+
+
+

Row

+
+

taxi_pay

+

Knows amount paid for taxi
+If person paid, their employer paid, or they split/shared the fare

+

Label

Value

Counts

Percentages

Knows amount paid

1

3,193

84.2%

Don't know

2

601

15.8%

Missing Response

995

369,717

Total valid

3,794

100.0%

Total missing

369,717

Total

373,511

+
+
+
+

Row

+
+

tnc_wait

+

Knows time spent between ordering trip and vehicle arriving
+If trip mode is Uber, Lyft, or other smartphone-app ride service

+

Label

Value

Counts

Percentages

Minutes:

1

3,350

76.8%

Don't know

998

1,012

23.2%

Missing Response

995

369,149

Total valid

4,362

100.0%

Total missing

369,149

Total

373,511

+
+
+
+

Row

+
+

tnc_type

+

Shared smartphone-app ride service
+If trip mode is Uber, Lyft, or other smartphone-app ride service

+

Label

Value

Counts

Percentages

Pooled (e.g., UberPool, Lyft Shared)

1

264

6.0%

Regular (e.g., UberX, UberXL, Lyft, LyftXL)

2

3,860

88.5%

Premium (e.g., UberBlack, Lyft Lux)

3

109

2.5%

Don't know

998

131

3.0%

Missing Response

995

369,147

Total valid

4,364

100.0%

Total missing

369,147

Total

373,511

+
+
+
+

Row

+
+

tnc_replace

+

Tnc replace
+If trip mode is Uber, Lyft, or other smartphone-app ride service

+

Label

Variable Name

Counts

Percentages

Missing Counts

Would make same trip by using a taxi

tnc_replace_1

1,848

42.4%

369,150

Would make same trip by driving my own car

tnc_replace_2

734

16.8%

369,150

Would make same trip by riding with family/friend/coworker

tnc_replace_3

709

16.3%

369,150

Would make same trip by using BART

tnc_replace_4

569

13.0%

369,150

Would make same trip by using other transit (not BART)

tnc_replace_5

1,346

30.9%

369,150

Would make same trip by walking/biking

tnc_replace_6

543

12.5%

369,150

Would travel to a different place instead

tnc_replace_7

144

3.3%

369,150

Would NOT make the trip at all

tnc_replace_8

308

7.1%

369,150

Other

tnc_replace_9

130

3.0%

369,150

+
+
+
+

Row

+
+

park_location

+

Vehicle parking location
+If trip mode, transit access mode, or transit egress mode is a household +vehicle or other vehicle

+

Label

Value

Counts

Percentages

Home driveway/garage (yours or someone else's)

1

65,929

29.5%

Parking lot/garage

3

93,816

41.9%

On-street parking

4

43,891

19.6%

Park & Ride lot

5

1,056

0.5%

Didn't park (waited, drop-off, drive-thru, gas)

6

17,948

8.0%

Other

7

1,145

0.5%

Missing Response

995

149,726

Total valid

223,785

100.0%

Total missing

149,726

Total

373,511

+
+
+
+

Row

+
+

park_type

+

How paid to park at this location
+If vehicle was parked in a lot/garage, on-street, or in a Park & +Ride lot

+

Label

Value

Counts

Percentages

Free parking (no cost at all)

1

127,990

92.2%

Used a parking pass (any type)

2

4,148

3.0%

Paid via cash, credit card, or ticket(s)

3

5,399

3.9%

Parking reservation service (e.g., SpotHero, ParkMobile)

4

508

0.4%

Other

6

722

0.5%

Missing Response

995

234,744

Total valid

138,767

100.0%

Total missing

234,744

Total

373,511

+
+
+
+

Row

+
+

managed_lane_use

+

Managed lane use
+If trip mode is a household vehicle, this person is not the passenger, +and the vehicle has a toll transponder

+

Label

Value

Counts

Percentages

Yes

1

2,292

1.6%

No

2

137,371

98.4%

Missing Response

995

233,848

Total valid

139,663

100.0%

Total missing

233,848

Total

373,511

+
+
+
+

Row

+
+

num_travelers

+

Number of people in travel party

+

Label

Value

Counts

Percentages

1 traveler

1

205,694

56.6%

2 travelers

2

100,393

27.6%

3 travelers

3

32,370

8.9%

4 travelers

4

15,686

4.3%

5+ travelers

5

9,143

2.5%

Missing Response

995

10,225

Total valid

363,286

100.0%

Total missing

10,225

Total

373,511

+
+
+
+

Row

+
+

num_hh_travelers

+

Number of household members on trip

+

Label

Value

Counts

Percentages

1 traveler

1

243,946

67.1%

2 travelers

2

84,925

23.4%

3 travelers

3

22,213

6.1%

4 travelers

4

10,026

2.8%

5 travelers

5

1,733

0.5%

6 travelers

6

269

0.1%

7 travelers

7

91

0.0%

8 travelers

8

39

0.0%

9 travelers

9

43

0.0%

10 travelers

10

1

0.0%

Missing Response

995

10,225

Total valid

363,286

100.0%

Total missing

10,225

Total

373,511

+
+
+
+

Row

+
+

num_non_hh_travelers

+

Number of non-household member travelers

+

Label

Value

Counts

Percentages

0 travelers

0

309,103

85.1%

1 traveler

1

36,366

10.0%

2 travelers

2

10,044

2.8%

3 travelers

3

3,400

0.9%

4 travelers

4

1,415

0.4%

5+ travelers

5

2,958

0.8%

Missing Response

995

10,225

Total valid

363,286

100.0%

Total missing

10,225

Total

373,511

+
+
+
+

Row

+
+

o_purpose_category

+

Origin purpose category

+

Label

Value

Counts

Percentages

Not imputable

-1

4,667

1.2%

Home

1

99,183

26.6%

Work

2

16,381

4.4%

Work related

3

18,896

5.1%

School

4

3,359

0.9%

School related

5

2,204

0.6%

Escort

6

25,995

7.0%

Shop

7

40,063

10.7%

Meal

8

32,131

8.6%

Social or recreational

9

51,474

13.8%

Errand

10

17,645

4.7%

Change mode

11

42,997

11.5%

Overnight

12

13,932

3.7%

Other

13

4,584

1.2%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+

Row

+
+

o_purpose

+

Origin purpose

+

Label

Value

Counts

Percentages

Not imputable

-1

4,667

1.2%

Went home

1

99,139

26.5%

Went to primary workplace

10

16,381

4.4%

Went to work-related activity (e.g., meeting, delivery, worksite)

11

16,225

4.3%

Volunteering

13

1,216

0.3%

Other work-related

14

1,455

0.4%

Attend K-12 school

21

574

0.2%

Attend college/university

22

1,029

0.3%

Attend other type of class (e.g., cooking class)

23

132

0.0%

Attend other education-related activity (e.g., field trip)

24

2,204

0.6%

Attend vocational education class

25

32

0.0%

Attend daycare or preschool

26

1,592

0.4%

Grocery shopping

30

21,883

5.9%

Got gas

31

3,949

1.1%

Other routine shopping (e.g., pharmacy)

32

13,026

3.5%

Errand without appointment (e.g., post office)

33

9,648

2.6%

Medical visit (e.g., doctor, dentist)

34

5,143

1.4%

Shopping for major item (e.g., furniture, car)

36

1,205

0.3%

Errand with appointment (e.g., haircut)

37

2,854

0.8%

Other activity only (e.g., attend meeting, pick-up or drop-off item)

44

1,738

0.5%

Pick someone up

45

9,896

2.6%

Drop someone off

46

12,493

3.3%

Accompany someone only (e.g., go along for the ride)

47

926

0.2%

BOTH pick up AND drop off

48

942

0.3%

Dined out, got coffee, or take-out

50

32,131

8.6%

Exercise or recreation (e.g., gym, jog, bike, walk dog)

51

27,836

7.5%

Social activity (e.g., visit friends/relatives)

52

9,481

2.5%

Leisure/entertainment/cultural (e.g., cinema, museum, park)

53

9,851

2.6%

Religious/civic/volunteer activity

54

2,622

0.7%

Family activity (e.g., watch child's game)

56

1,684

0.5%

Changed or transferred mode (e.g., waited for bus or exited bus)

60

42,997

11.5%

Other errand

61

125

0.0%

Other social

62

49

0.0%

Other reason

99

4,410

1.2%

Went to another residence (e.g., someone else's home, second home)

150

11,823

3.2%

Went to temporary lodging (e.g., hotel, vacation rental)

152

2,153

0.6%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+

Row

+
+

d_purpose_category

+

Destination purpose category

+

Label

Value

Counts

Percentages

Not imputable

-1

4,642

1.2%

Home

1

100,512

26.9%

Work

2

16,107

4.3%

Work related

3

19,012

5.1%

School

4

3,222

0.9%

School related

5

2,220

0.6%

Escort

6

26,168

7.0%

Shop

7

40,196

10.8%

Meal

8

32,273

8.6%

Social or recreational

9

51,828

13.9%

Errand

10

17,695

4.7%

Change mode

11

43,049

11.5%

Overnight

12

14,672

3.9%

Other

13

1,915

0.5%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+

Row

+
+

d_purpose

+

Destination purpose

+

Label

Value

Counts

Percentages

Not imputable

-1

4,642

1.2%

Went home

1

100,512

26.9%

Went to primary workplace

10

16,107

4.3%

Went to work-related activity (e.g., meeting, delivery, worksite)

11

16,319

4.4%

Volunteering

13

1,230

0.3%

Other work-related

14

1,463

0.4%

Attend K-12 school

21

603

0.2%

Attend college/university

22

791

0.2%

Attend other type of class (e.g., cooking class)

23

137

0.0%

Attend other education-related activity (e.g., field trip)

24

2,220

0.6%

Attend vocational education class

25

32

0.0%

Attend daycare or preschool

26

1,659

0.4%

Grocery shopping

30

21,974

5.9%

Got gas

31

3,960

1.1%

Other routine shopping (e.g., pharmacy)

32

13,055

3.5%

Errand without appointment (e.g., post office)

33

9,668

2.6%

Medical visit (e.g., doctor, dentist)

34

5,161

1.4%

Shopping for major item (e.g., furniture, car)

36

1,207

0.3%

Errand with appointment (e.g., haircut)

37

2,866

0.8%

Other activity only (e.g., attend meeting, pick-up or drop-off item)

44

1,741

0.5%

Pick someone up

45

9,930

2.7%

Drop someone off

46

12,594

3.4%

Accompany someone only (e.g., go along for the ride)

47

944

0.3%

BOTH pick up AND drop off

48

959

0.3%

Dined out, got coffee, or take-out

50

32,273

8.6%

Exercise or recreation (e.g., gym, jog, bike, walk dog)

51

27,962

7.5%

Social activity (e.g., visit friends/relatives)

52

9,599

2.6%

Leisure/entertainment/cultural (e.g., cinema, museum, park)

53

9,920

2.7%

Religious/civic/volunteer activity

54

2,642

0.7%

Family activity (e.g., watch child's game)

56

1,705

0.5%

Changed or transferred mode (e.g., waited for bus or exited bus)

60

43,049

11.5%

Other errand

61

126

0.0%

Other social

62

53

0.0%

Other reason

99

1,736

0.5%

Went to another residence (e.g., someone else's home, second home)

150

12,294

3.3%

Went to temporary lodging (e.g., hotel, vacation rental)

152

2,378

0.6%

Total valid

373,511

100.0%

Total

373,511

+
+
+
+
+

Using The Data

+
+

Column

+
+

Data Preparation

+
+

Data Preparation

+
+

This section summarizes the methods used to prepare the data. Given +that all data were collected in a “controlled” environment (e.g., survey +answers are validated in real-time), data preparation was primarily +focused on coding variables and deriving new fields to facilitate +analysis.

+
+


+
+
+
+

Joining Tables

+
+

Joining Tables

+
+

Survey data tables can be joined to one another as follows:

+ ++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Table nameVariable(s) to join to other survey data +tables
Householdhh_id
Personhh_id, person_id
Vehiclehh_id
Dayhh_id, person_id, day_num
Triphh_id, person_id, day_num, trip_id
Locationtrip_id
+
+
+
+
+

Time and Location Standards

+
+

Time and Location Standards

+
+

All timestamps are set to Coordinated Universal Time (UTC) time, +regardless of where trips occurred. All location latitude and longitude +information are presented in WGS84 format.

+
+
+
+
+

Missing Values

+
+

Missing Values

+
+

A survey data table cell may be missing data for one of four +reasons:

+

1. Value or response is missing due to survey logic, +participant non-response, or error.

+

Example: Participants who traveled by bus +were not asked if they were the driver or passenger on the trip.

+

Coded as: 995 for categorical variables, +blank/NA for continuous variables

+

2. A respondent indicated that the question was not +applicable and skipped that question.

+

Example: Some participants did not share +how they pay to park at work because they do not park at work (e.g., +carpool).

+

Coded as: 996 (often labeled as “Not +applicable”)

+

3. A respondent indicated that they didn’t know the answer +and skipped that question.

+

Example: Some participants who made a +vehicle trip and paid to park the vehicle may not remember the amount +they paid.

+

Coded as: 998 (Don’t know)

+

4. A respondent indicated that they preferred not to answer a +question and skipped that question.

+

Example: Some participants chose not to +provide their household income.

+

Coded as: 999 (Prefer not to answer)

+

Other notes about missing survey data:

+
    +
  • For a survey to be complete, all survey questions asked of the +participant must have been answered in the app or online +instrument.
  • +
  • Continuous variables (e.g., trip distance, trip duration) are not +coded with missing value codes and are instead left empty when missing +to avoid interfering with statistical calculations.
  • +
  • Due to the large size of the location table, missing values were +left exactly as they were collected. Speed, heading, and accuracy can +all potentially contain missing values that are either stored as “-1”, +NA, or 0. Analysis on those fields should filter to where the values are +greater than zero.
  • +
+
+
+
+
+

Outliers

+
+

Outliers

+
+

Continuous variables (e.g., trip distance, trip duration) in the +dataset may contain outliers. Data users should be aware of these +outliers when calculating summary statistics (e.g., mean) for these +variables.

+
+
+
+
+

Derived and Recoded Variables

+
+

Derived and Recoded Variables

+
+

This dataset includes a combination of variables that were actively +collected via survey questions, passively collected via rMove or other +metadata, implicitly assigned (e.g., administrative variables such as ID +numbers), and derived or recoded (calculated from some combination of +other variables). Key derived or recoded variables in this dataset are +summarized below.

+

Day-level Variables

+
    +
  • Number of trips per day
  • +
+

Trip-level Variables

+
    +
  • Trip path distance (based on the GPS location data)
  • +
  • Trip purpose (imputed in some cases)
  • +
  • Mode type and purpose categories
  • +
  • Access and egress flags
  • +
+
+
+
+
+

Imputation

+
+

Imputation

+
+

Departure Time

+

In some cases, the rMove app may have detected the start of a trip +after its true start time, which can yield invalid or extreme values for +trip duration and speed. In these cases, the fields depart_date, +depart_hour, and depart_minute were adjusted for “late pickup” +conditions using the following approach:

+
    +
  • Departure time was imputed using the median speed between all +locations along the trip, excluding the origin point, and the distance +between the origin and the next point on the trip. For trips with fewer +than three recorded locations, imputed departure time is set three +minutes earlier than the original departure time to compensate for +rMove’s 3-5-minute ping interval. Note that some trips that are the +result of split loop trips may only have three or fewer points but will +use the imputed depart time from before the loop trip was split and thus +may not be included in this rule.
  • +
  • If the imputed departure time overlaps with the previous trip’s +arrival time, the previous trip’s arrival time was instead used as the +departure time. Regardless of the number of locations along a trip, if +the imputed departure time was later than the initially reported +departure time, the imputed departure time is set to the original +departure time. User-added trips as well as long distance passenger mode +trips are also set to the original departure time, as user-added trips +are not subject to “late pickup” conditions, and long-distance passenger +modes are often plane trips where all collected traces contain speed +information from other modes and thus are less reliable (as rMove cannot +collect locations when a phone is in “airplane mode”).
  • +
+

Duration and speed are calculated based on the imputed departure +time.

+

Purpose

+

Respondents report the purpose of the trip destination in each trip +survey. The origin purpose is derived from the destination purpose of +the previous trip, except for the first trip in the travel period or +where an rMove trip occurs after a trip survey whose survey is +incomplete due to non-response. For the first trip in the travel period, +the origin purpose can be inferred from “begin_day” in the day +table.

+

When purpose was not asked because an analyst split a user-reported +trip during data cleaning (creating a new destination along a trip), +purpose values are derived where possible based on proximity (within 150 +meters) to estimated home, work, or school locations. If the location is +not proximate to home, work, or school locations, the purpose is set to +“other.”

+

The purpose category variables (o_purpose_category, +d_purpose_category) contain aggregated purpose values based on the type +of purpose at the origin/destination of each trip. Dataset users are +welcome to perform their own recoding of the purpose categories as +well.

+

Trip purposes have been imputed in cases where a purpose reported by +the user is assumed to be inaccurate based on information about that +person’s reported habitual locations and other trips (primarily to home, +work, and school locations). The trip purpose imputation approach was +applied to all rMove trips in person-days with at least 1 complete trip +and no more than 10 incomplete trips. (“Incomplete” trips are trips for +which the respondent did not answer the trip-specific survey questions +about purpose, mode, etc. for the given trip.)

+

The approach was to apply various “tests” in logical sequence to +trips for which the stated purpose is not consistent with the location +type based on the reported habitual locations. In general terms, the +tests were designed to:

+
    +
  • Check the respondent’s reported destination purpose when it +conflicts with the destination location type. (The details of the tests +depend on the trip purpose, with different criteria used for change-mode +trips, escort trips, linked transit trips, trips with home destinations +but other reported purposes, etc.)
  • +
  • Identify cases where respondents swapped the order of two or more +trips when reporting their details.
  • +
  • Identify cases where respondents may have omitted a trip and shifted +remaining reported trip details by one trip when reporting the rest of +their trips.
  • +
  • Fill in missing data by sampling destination purposes from other +trips made to the same locations, either by the same respondent or by +other respondents.
  • +
+
+
+
+
+

Mode type

+
+

Mode type (mode_type)

+
+

Mode_type synthesizes mode_1 to mode_3 down to a single, +easier-to-use variable for analytical purposes (so that data users can +avoid always referencing all modes on multimodal trips). The table below +shows the full crosswalk of which detailed modes correspond to which +mode_types. Higher values of mode_type are prioritized over lower +mode_type values in the derivation. For example, transit trips, with +mode_type 13, are prioritized over walk trips, with mode_type 1. When +transit trips were unlinked using the Google API during cleaning (and +thus did not have a reported mode_1, mode_2, or mode_3), the non-transit +legs of the trip were recoded using Google’s suggested mode (most +frequently “walk” or “bike”) and do not have a reported mode_1, mode_2, +or mode_3.

+
+
+ +
+
+ +
+
+
+
+ +
+ + + + + + +